2022/06/23 更新

写真a

ババグチ ノボル
馬場口 登
Noboru Babaguchi

研究キーワード

  • image analysis

  • 画像解析

  • 映像メディア処理

  • マルチメディアコミュニケーション

  • パターン認識

  • video and image processing

  • pattern recognition

  • multimedia communication

研究分野

  • 情報通信 / 知覚情報処理

  • 情報通信 / 知能情報学

  • 情報通信 / 知能ロボティクス

  • 情報通信 / ヒューマンインタフェース、インタラクション

  • 情報通信 / データベース

学歴

  • 大阪大学   工学部   通信工学科  

    1975年4月 - 1979年3月

  • 大阪大学   大学院工学研究科   通信工学専攻  

    1979年4月 - 1981年3月

  • 大阪大学   大学院工学研究科   通信工学専攻  

    1981年4月 - 1982年3月

経歴

  • 愛媛大学

    1982年4月 - 1987年1月

  • 大阪大学

    1987年2月 - 1990年9月

  • 大阪大学

    1990年10月 - 1993年3月

  • 大阪大学

    1993年4月 - 2002年12月

  • カリフォルニア大学サンディエゴ校・文部省在外研究員

    1996年9月 - 1997年9月

  • 大阪大学大学院工学研究科通信工学専攻・教授

    2002年12月 - 2005年3月

  • 国際電気通信基礎技術研究所(ATR)知能ロボティクス研究所・客員室長

    2005年4月 - 2009年3月

  • 大阪大学

    2005年4月 - 2020年3月

  • 東北大学電気通信研究所・共同研究員

    2007年10月 - 2008年3月

  • 大阪大学

    2011年10月 - 2015年8月

  • 国立情報学研究所・客員教授

    2013年1月 - 現在

  • 大阪大学

    2014年4月 - 2015年8月

  • 大阪大学教育研究評議会・評議員

    2015年8月 - 2019年8月

  • 日本学術会議   第24・25期連携会員

    2017年10月 - 現在

  • 大阪大学

    2018年1月 - 2018年3月

  • 大阪大学   大学院工学研究科長/工学部長

    2019年8月 - 2022年3月

  • 大阪大学   大学院工学研究科電気電子情報通信工学専攻・教授(改組のため)

    2020年4月 - 2022年3月

  • 福井工業大学   環境情報学部 経営情報学科   教授

    2022年4月 - 現在

  • 大阪大学   データビリティフロンティア機構   特任教授

    2022年4月 - 現在

  • 大阪大学   名誉教授

    2022年4月 - 現在

▼全件表示

所属学協会

  • 電子情報通信学会

  • 映像情報メディア学会

  • 情報処理学会

  • 人工知能学会

  • IEEE

  • ACM

  • 日本工学アカデミー

    2019年7月 - 現在

▼全件表示

委員歴

  • General Co-Chair  

    2008年1月   

  • General Co-Chair  

    2012年   

  • 副会長  

    2019年6月 - 現在   

  • 関西支部運営委員会委員  

    2019年7月 - 現在   

  • 論文査読委員  

    1988年4月   

  • 近畿新生産環境システム構築調査委員会特別協力委員  

    1990年9月 - 1992年3月   

  • 画像電子学会20周年記念国際セッション実行委員  

    1991年2月 - 1992年6月   

  • 「知的データベースワーキンググループ」委員  

    1991年4月 - 1992年3月   

  • 平成3年電気関係学会関西支部連合大会プログラム構成委員  

    1991年7月 - 1991年11月   

  • 快適工場推進調査委員会委員  

    1992年9月 - 1993年3月   

  • 近畿地域戦略的地域技術形成事業推進委員会和歌山県分科会委員  

    1992年12月 - 1995年3月   

  • コンピュータビジョンアジア会議(ACCV93)実行委員  

    1993年4月 - 1993年11月   

  • 第2回文書解析と認識国際会議(ICDAR93)プログラム委員  

    1993年4月 - 1993年11月   

  • 英文論文特集(文書図面の解析と理解)特集編集委員会  

    1993年5月 - 1994年7月   

  • 近畿機械情報産業振興調査分科会委員  

    1993年7月 - 1994年3月   

  • 熟達マシンシステム研究に関する委員会委員  

    1993年10月 - 1994年3月   

  • 1994年度人工知能学会全国大会プログラム委員  

    1993年10月 - 1994年6月   

  • EAGL協力研究者会員  

    1994年6月   

  • 熟達マシンシステム開発研究委員会(先導研究)幹事会委員  

    1994年9月 - 1995年3月   

  • 人工知能(知能と複雑系)研究連絡会連絡委員  

    1995年4月 - 1999年4月   

  • 英文論文特集(文字認識と文書理解)特集編集委会  

    1995年6月 - 1996年5月   

  • 委員  

    1996年   

  • 委員  

    1996年   

  • クラスルームビジョン研究会(第3種研究会)専門委員会  

    1996年5月 - 1998年3月   

  • 電子情報通信学会ソサイエティ大会併催事業 パターン認識・メディア理解アルゴリズムコンテスト実行委員  

    1998年4月 - 1998年10月   

  • パターン認識・メディア理解研究専門委員会幹事  

    1998年5月 - 2000年5月   

  • 評議員  

    1998年6月 - 2002年6月   

  • 電子情報通信学会1998年ソサイエティ大会プログラム編成委員  

    1998年7月 - 1998年10月   

  • 電子情報通信学会1999年総合大会プログラム編成委員  

    1999年1月 - 1999年3月   

  • 情報処理学会関西支部 幹事(役員)  

    1999年5月 - 2001年5月   

  • 電子情報通信学会1999年ソサイエティ大会プログラム編成委員  

    1999年6月 - 1999年9月   

  • 電子情報通信学会パターン認識メディア理解研究会 評価用映像メディアDB作成に関する検討部会(VDB-WG)主査  

    1999年9月   

  • Editorial Board, New Generation Computing  

    1999年12月   

  • 電子情報通信学会 2000年総合大会プログラム編成委員  

    2000年1月 - 2000年3月   

  • 画像の認識と理解シンポジウム(MIRU2000) 実行委員 若手プログラムWG主査  

    2000年7月   

  • International Workshop on Multimedia Information Retrieval Program Committee Members  

    2000年11月   

  • 平成12年電気関係学会関西支部連合大会実行委員  

    2000年11月   

  • Sixth International Conference on Document Analysis and Recognition (ICDAR2001) Program Committee Members  

    2001年9月   

  • 3rd International Workshop on Multimedia Information Retrieval (MIR2001) Workshop Co-chair  

    2001年10月   

  • 電子情報通信学会パターン認識・メディア理解 研究専門委員会副委員長  

    2002年5月 - 2004年5月   

  • 情報処理学会 論文誌編集委員会委員  

    2002年5月 - 2006年5月   

  • International Workshop on Intelligent Media Technology for Communicative Reality in conjunction with PRICAI-02 Program Committee Members  

    2002年8月   

  • 8th International Workshop on Multimedia Information Systems (MIS 2002). Program Committee Members  

    2002年10月   

  • 4th International Workshop on Multimedia Information Retrieval (MIR2002) Program Committee Members  

    2002年12月   

  • Editorial Board, Multimedia Tools and Applications  

    2003年5月   

  • 研究企画小委員会委員  

    2003年5月   

  • 2003 IEEE International Conference on Multimedia and Expo (ICME2003). Technical Program Committee Members  

    2003年7月   

  • 9th International Conference on Computer Vision(ICCV2003) Program Committee Members  

    2003年10月   

  • ACM SIGMM MIR Steering Committee members  

    2004年4月   

  • 評議員  

    2004年6月 - 2008年6月   

  • 画像の認識・理解シンポジウム2004 プログラム委員長・MIRU長尾賞選考委員長  

    2004年7月   

  • ACM Multimedia 2004 Technical Program Committee Members  

    2004年10月   

  • 1st IEEE International Workshop on Managing Data for Emerging Multimedia Applications (EMMA) Technical Program Committee Members  

    2004年10月 - 2005年4月   

  • 電子情報通信学会論文誌D(画像の認識・理解)特集号 編集委員長  

    2004年10月 - 2005年10月   

  • 2004 Pacific-Rim Conference on Multimedia Publicity Co-Chair  

    2004年12月   

  • IS&T, SPIE 17th Annual Symposium Electronic Imaging 2005, Storage and Retrieval Methods and Applications for Multimedia Conference Co-chair  

    2005年1月   

  • 評議員  

    2005年6月 - 2006年5月   

  • 2005 IEEE International Conference on Multimedia & Expo Program Committee Members  

    2005年7月   

  • Asian Conference on Computer Vision(ACCV2006) Program Committee Member  

    2005年7月   

  • ACM Multimedia 2005 Technical Program Committee Members  

    2005年10月   

  • 2006 IEEE International Conference on Multimedia & Expo Track Chair (Multimedia Applications)  

    2005年12月   

  • 1st International Conference on Signal Processing and Multimedia Applications (SIGMAP) Program Committee Members  

    2006年1月   

  • ACM Multimedia 2006 Technical Program Committee Members  

    2006年1月   

  • International MultiMedia Modeling Conference (MMM) 2007 program committee (PC) member  

    2006年5月   

  • 実行委員長  

    2007年   

  • ACM Multimedia 2007 Technical Program Committee Members  

    2007年1月   

  • International Workhsop on Multimedia Content Analysis and Mining(MCAM'07) Technical Program Committee Members  

    2007年1月   

  • IEEE Senior Member  

    2007年4月   

  • 研究専門委員会委員長  

    2007年4月 - 2009年5月   

  • WWW2008 (17th International World Wide Web Conference) Rich Media track programme committee member  

    2007年8月   

  • 2nd Korea-Japan Joint Workshop on Pattern Recognition (KJPR2007) Workshop Co-Chairs  

    2007年10月   

  • 関西安全・安心を支える科学技術推進会議 暮らしの安全安心研究会 学識委員  

    2007年10月   

  • PCM 2007 (Pacific-Rim Conference on Multimedia) technical program committee member Multimedia Analysis and Retrieval track  

    2007年11月   

  • 画像の認識・理解 特集号 編集委員  

    2008年5月 - 2009年   

  • Program Committee Members  

    2008年6月   

  • 実行委員長  

    2008年7月   

  • Program Committee Members(Reviewer)  

    2008年10月   

  • Technical Program Committee Members(Content Track)  

    2008年10月   

  • Track: 4 - Multimedia and Video Analysis Technical Committee (TC) Member  

    2008年12月   

  • Workshop Chair  

    2008年12月   

  • 科学研究費委員会専門委員  

    2008年12月 - 2009年11月   

  • Editorial Board  

    2009年1月   

  • Workshop/Tutorial Chairs  

    2009年1月   

  • Program Committee Members  

    2009年6月   

  • General Vice Chair  

    2009年8月   

  • Area Chair  

    2009年9月   

  • Sub-Track Chair(Image, video, and multimedia signal processing)  

    2009年10月   

  • Technical Program Committee Members(Content Track)  

    2009年10月   

  • Program Committee Members(Reviewer)  

    2009年11月   

  • Special Session Co-Chair  

    2010年   

  • Technical Program Committee Members & Meta-Reviewer(Content Track)  

    2010年   

  • 科学研究費委員会専門委員  

    2010年1月 - 2010年11月   

  • 人間由来の情報を利用する情報処理研究の審査の あり方の検討会 委員長  

    2010年12月 - 2011年3月   

  • Program Committee Members(Media analysis and search Track)  

    2011年   

  • マルチメディア情報ハイディング・エンリッチメント研究専門委員会委員長  

    2011年4月 - 2013年5月   

  • Technical Program Committee Members  

    2011年7月   

  • 特別研究員等審査会専門委員及び 国際事業委員会書面審査員  

    2011年8月 - 2012年7月   

  • Track Co-Chair(Pattern Recognition and Applications Track)  

    2012年   

  • 映像情報メディア学会 英語論文誌編集委員 ITE Transactions on Media Technology and Applications  

    2012年1月 - 2014年5月   

  • 「エジプト日本科学技術大学(E-Just)設立プロジェクト」 に係る国内支援委員会委員  

    2012年4月 - 2013年3月   

  • 関西支部長  

    2012年4月 - 2013年4月   

  • 2012 IEEE International Conference on Multimedia & Expo (ICME2012) Technical Program Committee Members  

    2012年7月   

  • Guest Editor  

    2012年9月   

  • 科学技術動向センター 専門調査員  

    2012年9月 - 2013年3月   

  • 研究ユニット評価委員会 (知能システム研究部門)委員  

    2012年9月 - 2014年3月   

  • 科学研究費委員会専門委員  

    2012年12月 - 2013年11月   

  • 学位審査会専門委員  

    2013年4月 - 2015年3月   

  • Area Chair  

    2013年7月   

  • 科学研究費委員会専門委員  

    2013年12月 - 2014年11月   

  • 戦略的情報通信研究開発推進事業(SCOPE)専門評価委員  

    2014年4月 - 2015年3月   

  • 研究ユニット評価委員会 (知能システム研究部門)委員(再任)  

    2014年4月 - 2015年3月   

  • 2014年年次大会関西支部実行副委員長  

    2014年8月   

  • 理事  

    2015年6月 - 現在   

  • 特別研究員等審査会専門委員及び国際事業委員会書面審査員  

    2015年8月 - 2016年7月   

  • 評価委員  

    2016年11月 - 2020年10月   

  • Honorary Co-Chairs  

    2018年6月   

  • 理事  

    2019年8月 - 2022年3月   

  • 運営委員  

    2019年8月 - 2022年3月   

  • 外部評価委員  

    2019年11月   

  • 科学賞選考委員  

    2021年8月 - 2022年3月   

▼全件表示

 

論文

  • Effective De-identification Generative Adversarial Network for Face Anonymization 査読

    Z. Kuang, H. Liu, J. Yu, A. Tian, L. Wang, J. Fan, N. Babaguchi

    Proc. of 29th ACM International Conference on Multimedia   3182 - 3192   2021年10月

  • Unnoticeable synthetic face replacement for image privacy protection 査読

    Z. Kuang, Z. Guo, J. Fang, J. Yu, N. Babaguchi, J. Fan

    Neurocomputing   457   322 - 333   2021年10月

  • Model Inversion Attack: Analysis under Gray-box Scenario on Deep Learning based Face Recognition System 査読

    M. Khosravy, K. Nakamura, Y. Hirose, N. Nitta, N. Babaguchi

    KSII Transactions on Internet and Information Systems   15 ( 3 )   1100 - 1118   2021年3月

  • Generation and Detection of Media Clones 招待 査読

    I. Echizen, N. Babaguchi, J. Yamagishi, N. Nitta, Y. Nakashima, K. Nakamura, K. Kono, F. Fang, S. Myojin, Z. Kuang, H. H. Nguyen, N-D. T. Tieu

    IEICE Transactions on Information and Systems   E104-D ( 1 )   12 - 23   2021年1月

  • Preventing Fake Information Generation Against Media Clone Attacks 招待 査読

    N. Babaguchi, I. Echizen, J. Yamagishi, N. Nitta, Y. Nakashima, K. Nakamura, K. Kono, F. Fang, S. Myojin, Z. Kuang, H. H. Nguyen, N-D. T. Tieu

    IEICE Transactions on Information and Systems   E104-D ( 1 )   2 - 11   2021年1月

  • Semi-Supervised Outdoor Image Generation Conditioned on Weather Signals 査読

    S. Kawakami, K. Okada, N. Nitta, K. Nakamura, N. Babaguchi

    Proc. of International Conference on Pattern Recognition (ICPR2021)   4268 - 4275   2021年1月

  • Deep Face Recognizer Privacy Attack: Model Inversion Initialization by a Deep Generative Adversarial Data Space Discriminator 査読

    M. Khosravy, K. Nakamura, N. Nitta, N. Babaguchi

    Proc. of a-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2020)   1400 - 1405   2020年12月

  • Detection of Cloned Recognizers: A Defending Method against Recognizer Cloning Attack 査読

    Y. Mori, K. Nakamura, N. Nitta, N. Babaguchi

    Proc. of a-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2020)   1375 - 1380   2020年12月

  • [解説]工学研究科アップデート 招待

    馬場口登

    生産と技術、巻頭言   72 ( 3 )   1 - 2   2020年8月

  • [招待インタラクティブ発表]画像認識モデルからの情報流出の可能性とその対処法に関する検討 招待 査読

    中村和晃, 森勇登, 廣瀬雄基, M. Khosravy, 新田直子, 馬場口登

    第26回画像センシングシンポジウム(SSII)   8 pages   2020年6月

  • Constructing Geospatial Concept Graphs from Tagged Images for Geo-Aware Fine-Grained Image Recognition 査読

    N. Nitta, K. Nakamura, N. Babaguchi

    9 ( 6 )   Article No. 354 - 23 pages   2020年5月

  • Probabilistic Stone’s Blind Source Separation with application to channel estimation and multi-node identification in MIMO IoT green communication and multimedia systems 査読

    M. Khosravy, N. Gupta, N. Patel, N. Dey, N. Nitta, N. Babaguchi

    Computer Communications, Elsevier   157   423 - 433   2020年5月

  • [解説]時をかけるメディア 招待

    馬場口登

    映像情報メディア学会誌、ふぉーかす   74 ( 3 )   1page   2020年5月

  • A logical consideration on fraudulent email communication 査読

    S. Myojin, N. Babaguchi

    ARTIFICIAL LIFE AND ROBOTICS   25 ( 3 )   7pages   2020年3月

     詳細を見る

    One of the most serious problems in modern society is that internet users are deceived by various fake information. In this paper, we analyse a scenario based on an actual incident of fraud called business email compromise (BEC). We suppose that each email, in the incident, step-wisely changes user's thinking and makes him or her believe the emails. If fraud has such a step-by-step mechanism, it allows us to consider counter measures for dissuading a user from decision-making on the way. We discuss features and factors of the incident based on formulations of Channel theory. Our analysis revealed that each email message influenced user's decision-making by what kind of logical trap. It can be fundamental knowledge that is capable of warning the user with predicting logical traps. This paper contributes to providing a novel viewpoint to develop systems for detecting deception of BEC.

  • [解説]REALかFAKEか 招待

    馬場口登

    情報・システムソサエティ誌、巻頭言   24 ( 4 )   3 - 3   2020年2月

  • Speech-driven Face Reenactment for a Video Sequence 査読

    Y. Nakashima, T. Yasui, L. Nguyen, N. Babaguchi

    ITE Transactions on Media Technology and Applications   8 ( 1 )   60 - 68   2020年1月

     詳細を見る

    Online ISSN : 2186-7364

  • [招待講演]メディアクローン攻撃 招待

    馬場口登

    大阪大学工学研究科テクノアリーナ いきもの - AI共創工学、大阪大学吹田キャンパス   2019年12月

  • Anonymization of Gait Silhouette Video by Perturbing Its Phase and Shape Components 査読

    Y. Hirose, K. Nakamura, N. Nitta, N. Babaguchi

    Proc.of Asia-Pacific Signal and Processing Association Annual Summit and Conference (APSIPA ASC 2019)   2019年11月

  • Discrimination between Handwritten and Computer-Generated Texts using a Distribution of Patch-Wise Font Features 査読

    N. Hamasaki, K. Nakamura, N. Nitta, N. Babaguchi

    Proc. of Asia-Pacific Signal and Processing Association Annual Summit and Conference (APSIPA ASC 2019)   2019年11月

  • Generating Spoofing Tweets considering Points of Interest of Target User 査読

    J. Lim, N. Nitta, K. Nakamura, N. Babaguchi

    Proc. of Asia-Pacific Signal and Processing Association Annual Summit and Conference (APSIPA ASC 2019)   2019年11月

  • Discrimination between Genuine and Cloned Gait Silhouette Videos via Autoencoder-based Training Data Generation 査読

    Y. Hirose, K. Nakamura, N. Nitta, N. Babaguchi

    IEICE Transactions on Information and Systems   E102.D ( 12 )   2535 - 2546   2019年9月

  • [解説]認識サービスの運用:認識器クローンに対する防御法 招待

    中村和晃, 新田直子, 馬場口登

    MEDICAL IMAGING TECHNOLOGY   37 ( 4 )   188 - 193   2019年9月

  • [解説]内心プライバシー情報の流出を防ぐ画像認識フレームワークの開発 招待

    中村和晃, 新田直子, 馬場口登

    画像ラボ   30 ( 6 )   12 - 19   2019年6月

  • Constructing Geographic Dictionary from Streaming Geotagged Tweets 査読

    J. Lim, N. Nitta, K. Nakamura, N. Babaguchi

    ISPRS International Journal on Geo-Information   8 ( 5 )   Article No. 216 - 24 pages   2019年5月

  • Encryption-Free Framework of Privacy-Preserving Image Recognition for Photo-Based Information Services 査読

    K. Nakamura, N. Nitta, N. Babaguchi

    IEEE Transactions on Information Forensics and Security   14 ( 5 )   1264 - 1279   2019年5月

  • A logical consideration on deceived person's thinking 査読

    S. Myojin, N. Babaguchi

    ARTIFICIAL LIFE AND ROBOTICS   24 ( 1 )   114 - 118   2019年3月

     詳細を見る

    The problem that old people are sometimes deceived by means of remittance fraud has become a great concern in our society. In this paper, we consider deceived person's thinking using Barwise-Seligman's framework, which is a logic for representing distributed systems among people or artifacts. The framework has been used to consider the conversation with comical misconception. We think that it is similar to remittance fraud because in telephone conversation, a criminal of the fraud uses victim's misconception so that the criminal can impersonate somebody. In this paper, we consider a logical system to describe the communication of a typical remittance fraud, and discuss the representative ability of the formulas to express the situation where a person is deceived or not deceived. The formulas have indicated that a person may be deceived as a result of handling exceptions in terms of logic. This paper contributes to providing a novel viewpoint to consider why people are deceived.

  • Semiotic and Logical Approach for Analysis of Augmented World 査読

    S. Myojin, N. Babaguchi

    Proc. of 12th Asia Pacific Workshop on Mixed and Augmented Reality (APMAR2019)   2019年3月

  • Modeling deceptive communication based on information flow 査読

    S. Myojin, N. Babaguchi

    Proc. of International Symposium on Artificial Life and Robotics, AROB 24th 2019   2019年1月

  • A Comic-Style Chat System with Japanese Expression Techniques for More Expressive Communication. 査読

    J. Itou, K. Matsumura, J. Munemori, N. Babaguchi

    Collaboration Technologies and Social Computing - 25th International Conference(CRIWG/CollabTech)   172 - 187   2019年

  • TRAINING-FREE METHOD FOR GENERATING MOTION VIDEO CLONES FROM A STILL IMAGE CONSIDERING SELF-OCCLUSION OF HUMAN BODY 査読

    T. Tsutsumi, K. Nakamura, S. Myojin, N. Nitta, N. Babaguchi

    2019 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP)   509 - 513   2019年

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    In this paper, we propose a method for generating photorealistic video in which a person virtually performs a motion that is not performed in the real world. we refer to such video as motion video clones (MVCs). The proposed method requires only two kinds of source information as input data: a reference video, in which a person A performs some motion, and a target image, which includes the whole body of another person B. Using these data, our method generates a MVC in which the person A's motion is re-enacted by the person B's body. Since our method does not need 3D human body model nor any training phase, it is suitable to MVC-based entertainment systems. To handle the self-occlusion of the human body in the reference video, we employ a part-based approach. For each part such as the right arm and the left leg, we first extract its skeleton from the target image and move it so that the motion represented by the reference video is re-enacted. Next, we compute a 2D affine transform between the original and moved positions of the skeleton. This transform is used to map the texture of the target image onto each frame of a resultant MVC. Finally, we extend the part-wise affine transforms to pixel-wise ones by computing their linear combination for each pixel, whose combination weights are computed according to the geodesic distance between the pixel and the center of each part. This allows us to avoid unnatural appearance around the joints of the body parts. In our experiments, the proposed method generated much visually-natural MVCs than existing methods.

  • Passive Video Forgery Detection Considering Spatio-Temporal Consistency 査読

    K. Kono, T. Yoshida, S. Ohshiro, N. Babaguchi

    Proceedings of 14th International Conference on Information Assurance and Security   2018年12月

  • [招待講演]メディアクローンによるサイバー/フィジカル攻撃-情報トラストの新しい道- 招待

    馬場口登

    2018年12月

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    紫翠会第933回例会,関西電力本店

  • Initial Consideration on Human Factor in Security Incident 査読

    S. Myojin, N. Babaguchi

    Proc. of The 13th International Workshop on Security   2018年9月

  • Generating Handwritten Character Clones from an Incomplete Seed Character Set using Collaborative Filtering 査読

    K. Nakamura, E. Miyazaki, N. Nitta, N. Babaguchi

    Proc. of International Conference on Frontiers in Handwriting Recognition   68 - 73   2018年8月

  • マイクロブログからの関連実世界観測情報の抽出 査読

    新田直子, 吉武真人, 中村和晃, 馬場口登

    日本データベース学会和文論文誌   vol.16-J   Article No. 22 - 8 pages   2018年3月

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    8 pages

  • Formulating what a deceived person thinks 査読

    S. Myojin, N. Babaguchi

    23rd International Symposium on Artificial Life and Robotics, AROB 23rd 2018   2018年1月

  • Development of a Stroll Support System Using Route Display on a Map and Photograph Sharing Service. 査読

    J. Itou, T. Mori, J. Munemori, N. Babaguchi

    Proc. of 10th International Conference on Collaboration Technologies (CollabTech2018)   48 - 55   2018年

  • Constructing Geospatio-Temporal Concept Graphs from Tagged Images 査読

    H. Honjo, N. Nitta, K. Nakamura, N. Babaguchi

    Proceedings - 2017 IEEE 3rd International Conference on Multimedia Big Data, BigMM 2017   169 - 176   2017年6月

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    This paper proposes a method for discovering the knowledge about geospatio-temporal concepts, which are strongly related to specific locations and times, from images tagged with latitude and longitude coordinates, time-stamps, and textual tags. The proposed method firstly extracts textural tags used either in specific locations or times as the geospatial or temporal concepts with their location or time information. Then, the semantic relations among the geospatio-temporal concepts are extracted based on the co-occurrence of the corresponding tags to be represented as a graph. Finally, visually discriminative geospatio-temporal concepts are linked to representative visual concepts. The usefulness of the discovered knowledge is evaluated based on the automatic tagging for the images tagged with latitude and longitude coordinates and time-stamps.

  • Extracting Real-World Observations from Microblog 査読

    M. Yoshitake, Naoko Nitta, Kazuaki Nakamura, Noboru Babaguchi

    Proceedings - 2017 IEEE 3rd International Conference on Multimedia Big Data, BigMM 2017   232 - 237   2017年6月

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    Since a large number of users of various social networking services post what they observe around themselves, what is going on around the world can be known in real time by extracting such real-world observations. Especially, observations covering miscellaneous areas of interest are posted to Twitter as short text messages. Our goal is to extract such observations to better understand the current situations of the real world. Since the observations at specific locations are often described with words representing the observed locations or events, the locations or events all over the world can be discovered by finding such local words which are uniquely used at specific locations or times. Then, parts of their observations can be obtained by using the local words to define the semantics of each local word. Finally, the observations which do not contain the local words but are related to the locations or events can be extracted based on their semantic relevancy to each local word.

  • On-line Geospatial Term Extraction from Streaming Geotagged Tweets 査読

    T. Kamimura, N. Nitta, K. Nakamura, N. Babaguchi

    Proceedings - 2017 IEEE 3rd International Conference on Multimedia Big Data, BigMM 2017   322 - 329   2017年6月

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    Recently, geotagged posts to social media such as Twitter have become major sources for geospatial information referenced to a set of geographic coordinates. Especially, many existing work collects geospatial terms which identify geographic locations by examining the spatial locality of the term usage patterns observed in the geotagged posts accumulated for a certain period of time. Although the spatial locality of the collected geospatial terms can only be temporary, such time variability difference among the geospatial terms have not been considered in the existing work. Thus, in order to separately collect the stationary and temporary geospatial terms with proper timing, we propose an on-line method for constructing a geographical dictionary containing the up-to-date geospatial terms and their locations by continuously examining the spatial locality of terms in streaming geotagged posts. The geospatial terms can be distinguished between stationary and temporary terms according to their usage patterns in the recent set of geotagged posts and their locations recorded in the geographical dictionary. Additionally, images representing each geospatial term can also be collected from the posts containing the corresponding term. The usefulness of the collected geospatial information is demonstrated in comparison to existing geographical dictionaries constructed by experts, crowdsourcing, and batch method.

  • [解説]グループごとの行動状態を考慮した群衆映像からのグループ検出 招待

    中村和晃, 馬場口登

    画像ラボ   28 ( 5 )   1 - 10   2017年5月

  • Detection of groups in crowd considering their activity state 査読

    K. Nakamura, T. Ono, N. Babaguchi

    Proceedings - International Conference on Pattern Recognition   277 - 282   2017年4月

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    In this paper, we focus on the problem of group detection in crowd, which is a task of partitioning a set of pedestrians in a scene into small subsets called groups based on their trajectories. Most of previous methods use only a single model for representing a relationship between trajectories of pedestrians who belong to the same group. However, such relationship would vary depending on the activity state (e.g. walking together, approaching, splitting, and so on) of the group. In this paper, we propose a novel group detection method which can cope with a variation of groups' activity state. The proposed method constructs different models for each activity state in order to appropriately evaluate the relationship of pedestrians' trajectories. In addition, our method regards groups' activity state as hidden variables and estimates their probability distributions, which is used for integrating the constructed models. The proposed method outperforms existing methods in the experiment on the public dataset.

  • [特別招待講演]メディアクローン攻撃を防御するコミュニケーション系-構想・チャレンジ・アプローチ- 招待

    馬場口登

    電子情報通信学会技術研究報告   116 ( 497, CQ2016-115 )   25 - 30   2017年3月

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    2017年3月6~7日コミュニケーションクオリティ研究会 (CQ) 於:九州大学大橋キャンパス5号館

  • A Framework of Privacy-Preserving Image Recognition for Image-Based Information Services 査読

    K. Fujii, K. Nakamura, N. Nitta, N. Babaguchi

    MULTIMEDIA MODELING (MMM 2017), PT I   10132   40 - 52   2017年

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    Nowadays mobile devices such as smartphones are widely used all over the world. Moreover, the performance of image recognition has dramatically increased by deep learning technologies. From these backgrounds, we think that the following scenario of information services could be realized in the near future: users take a photo and send it to a server, who recognizes the location in the photo and returns the users some information about the recognized location. However, this kind of client-server-based image recognition can cause a privacy issue because image recognition results are sometimes privacy sensitive. To tackle the privacy issue, in this paper, we propose a novel framework for privacy-preserving image recognition in which the server cannot uniquely identify the recognition result but users can do so. An overview of the proposed framework is as follows: First users extract a visual feature from their taken photo and transform it so that the server cannot uniquely identify the recognition result. Then users send the transformed feature to the server, who returns a candidate set of recognition results to the users. Finally, the users compare the candidates and the original visual feature for obtaining the final result. Our experimental results demonstrate the effectiveness of the proposed framework.

  • Effect of Junk Images on Inter-concept Distance Measurement: Positive or Negative? 査読

    Y. Nagasawa, K. Nakamura, N. Nitta, N. Babaguchi

    MULTIMEDIA MODELING, MMM 2017, PT II   10133   173 - 184   2017年

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    In this paper, we focus on the problem of inter-concept distance measurement (ICDM), which is a task of computing the distance between two concepts. ICDM is generally achieved by constructing a visual model of each concept and calculating the dissimilarity score between two visual models. The process of visual concept modeling often suffers from the problem of junk images, i.e., the images whose visual content is not related to the given text-tags. Similarly, it is naively expected that junk images also give a negative effect on the performance of ICDM. On the other hand, junk images might be related to its text-tags in a certain (non-visual) sense because the text-tags are given by not automated systems but humans. Hence, the following question arises: Is the effect of junk images on the performance of ICDM positive or negative? In this paper, we aim to answer this non-trivial question from experimental aspects using a unified framework for ICDM and junk image detection. Surprisingly, our experimental result indicates that junk images give a positive effect on the performance of ICDM.

  • Tag Chat: A Tag-Based Past Topics Recollection Support System. 査読

    J. Itou, R. Tanaka, J. Munemori, N. Babaguchi

    Proc. of 9th International Conference on Collaboration Technologies (CollabTech 2017)   LNCS 10397   29 - 36   2017年

  • Long-term people reidentification using anthropometric signature 査読

    M. Hasan, N. Babaguchi

    2016 IEEE 8th International Conference on Biometrics Theory, Applications and Systems, BTAS 2016   2016年12月

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    Anthropometric biometrics are the most suitable features for long-term people reidentification. However, feature selection is still a major problem in the anthropometric biometrics literature. In this paper, we aim at improving people reidentification by enhancing feature selection. Based on a statistical analysis of body measurements on a large-scale dataset, a new anthropometric signature is introduced. The proposed signature describes both the size and shape of human body at specific anatomical landmarks. While size is measured by Euclidian distance between four skeleton joint pairs, shape is described by the surface distance along four circular body parts. A novel algorithm is proposed to automatically segment the circular body parts from the subject point cloud using body geometry, cylindrical fitting and soft clustering. The overall system is evaluated on two public datasets using CMC and nAUC metrics. Experimental results show the effectiveness of our method compared to state of the art.

  • Hierarchical detection of rectangles in images 査読

    M. Hasan, M. Abdellatif, N. Babaguchi

    First International Workshop on Pattern Recognition   7 pages   2016年7月

  • Privacy Protection for Social Video via Background Estimation and CRF-based Videographer’s Intention Modeling 査読

    Y. Nakashima, N. Babaguchi, J. Fan

    IEICE Transactions on Information and Systems   E99D ( 4 )   1221 - 1233   2016年4月

  • Evaluating Protection Capability for Visual Privacy Information 査読

    Y. Nakashima, T. Ikeno, N. Babaguchi

    IEEE Security and Privacy   14 ( 1 )   55 - 61   2016年1月

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    One way to prevent privacy intrusion is by blurring or blocking out facial images using image processing. However, this technique's effectiveness depends on viewers' familiarity with the subjects as well as on the subjects' conspicuousness.

  • Real-World Observation Extraction from Microblog based on Word Associative Relations 査読

    Masato Yoshitake, Naoko Nitta, Noboru Babaguchi

    2016 IEEE SECOND INTERNATIONAL CONFERENCE ON MULTIMEDIA BIG DATA (BIGMM)   450 - 455   2016年

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    A large number of real-world observations by social sensors all over the world can be obtained from various social networking services. Especially, observations covering miscellaneous areas of interest are posted to Twitter as short text messages. Our goal is to extract a wide range of observations related to the target of interest specified by the user from Twitter regardless of their popularity. Assuming that the related observations are likely to contain words people often associate with each other, the associative relations among words are learned from the past messages. When a user gives a keyword representing his/her current interest, recent related observations are extracted based on their word frequency distributions in terms of the associative relations to the keyword.

  • Facial expression preserving privacy protection using image melding 査読

    Yuta Nakashima, Tatsuya Koyama, Naokazu Yokoya, Noboru Babaguchi

    Proceedings - IEEE International Conference on Multimedia and Expo   2015-   1 - 6   2015年8月

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    An enormous number of images are currently shared through social networking services such as Facebook. These images usually contain appearance of people and may violate the people's privacy if they are published without permission from each person. To remedy this privacy concern, visual privacy protection, such as blurring, is applied to facial regions of people without permission. However, in addition to image quality degradation, this may spoil the context of the image: If some people are filtered while the others are not, missing facial expression makes comprehension of the image difficult. This paper proposes an image melding-based method that modifies facial regions in a visually unintrusive way with preserving facial expression. Our experimental results demonstrated that the proposed method can retain facial expression while protecting privacy.

  • Owner authentication for mobile devices using motion gestures based on multi-owner template update 査読

    Shigeki Karita, Kumi Nakamura, Kazuhiro Kono, Yoshimichi Ito, Noboru Babaguchi

    2015 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2015   2015年7月

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    This paper proposes a template updating method for improving authentication accuracy in behavioral biometric authentication with hand/arm motion gestures for mobile devices. We introduce an extended version of the standard K-Medoids based clustering algorithm called supervised K-Medoids, which can handle with 2-class data such as positive samples and negative samples. Using the supervised K-Medoids, the template corresponding to each owner is selected as the one that is the most identifiable as the actual owner, and, at the same time, the most distinguishable from the others. Therefore, our method can decrease False-Rejection-Rate (FRR) and False-Acceptance-Rate (FAR) simultaneously, compared to the conventional work that is based on the template update with only the owner's data to decrease FRR. Our template update with multi-owner data attains Equal-Error-Rate (EER) of 5.2% whereas the conventional template update method with owner's own data results in 12.0% when 10 subjects authenticate with gestures for 10 days.

  • Temporal Spotting of Human Actions from Videos Containing Actor's Unintentional Motions 査読

    K. Hara, K. Nakamura, N. Babaguchi

    Proc. IEEE International Conference on Multimedia and Expo (ICME2015)   2015年7月

  • [招待講演]視覚的プライバシー情報の保護と利用-顔を写されて大丈夫?- 招待

    馬場口登

    2015年5月

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    中京大学コロキウム 於:中京大学

  • Protection and Utilization of Privacy Information via Sensing 招待

    Noboru Babaguchi, Yuta Nakashima

    IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS   E98D ( 1 )   2 - 9   2015年1月

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    Our society has been getting more privacy-sensitive. Diverse information is given by users to information and communications technology (ICT) systems such as IC cards benefiting them. The information is stored as so-called big data, and there is concern over privacy violation. Visual information such as images and videos is also considered privacy-sensitive. The growing deployment of surveillance cameras and social network services has caused a privacy problem of information given from various sensors. To protect privacy of subjects presented in visual information, their face or figure is processed by means of pixelization or blurring. As image analysis technologies have made considerable progress, many attempts to automatically process flexible privacy protection have been made since 2000, and utilization of privacy information under some restrictions has been taken into account in recent years. This paper addresses the recent progress of privacy protection for visual information, showing our research projects: PriSurv, Digital Diorama (DD), and Mobile Privacy Protection (MPP). Furthermore, we discuss Harmonized Information Field (HIFI) for appropriate utilization of protected privacy information in a specific area.

  • Real-Time People Counting across Spatially Adjacent Non-Overlapping Camera Views 査読

    R. Akai, N. Nitta, N. Babaguchi

    Proc. of International Conference on Multimedia Modeling (MMM2015)   71 - 82   2015年1月

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    DOI: 10.1109/SmartCity.2015.88

  • [解説]スポーツ放送2020年の夢 招待

    馬場口登

    NHK技研 R&D   ( 149 )   2 - 3   2015年1月

  • Digital diorama: Privacy-preserving and intelligible sensing-based real-world content 査読

    Naoko Nitta, Noboru Babaguchi

    ITE Transactions on Media Technology and Applications   3 ( 3 )   184 - 193   2015年

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    This paper proposes a sensing-based real-world content called Digital Diorama, which is a three-dimensional miniature model of the dynamically changing real world created from the real-time data continuously published over the Internet by stationary cameras distributed in public spaces. Digital Diorama is designed to preserve both the privacy of the monitored persons and the intelligibility of the content by superimposing the latest background images and human icons each of which represents a monitored person in the three-dimensional model. By using the data continuously published from 10 stationary cameras installed on one floor of a shopping mall, our prototype Digital Diorama browser was able to construct and dynamically update Digital Diorama in approximately 1 fps. The results of subjective evaluations indicated that utilizing appropriate human icons can improve the intelligibility of the content while preserving the privacy of the monitored persons.

  • Inter-Concept Distance Measurement with Adaptively Weighted Multiple Visual Features 査読

    Kazuaki Nakamura, Noboru Babaguchi

    COMPUTER VISION - ACCV 2014 WORKSHOPS, PT III   9010   56 - 70   2015年

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    Most of the existing methods for measuring the inter-concept distance (ICD) between two concepts from their image instances use only a single kind of visual feature extracted from each instance. However, a single kind of feature is not enough for appropriately measuring ICDs due to a wide variety of perspectives for similarity evaluation (e.g., color, shape, size, hardness, heaviness, and functions); the relationships between different concept pairs are more appropriately modeled from different perspectives provided by multiple kinds of features. In this paper, we propose extracting two or more kinds of visual features from each image instance and measuring ICDs using these multiple features. Moreover, we present a method for adaptively weighting the visual features on the basis of their appropriateness for each concept pair. Experiments demonstrated that the proposed method outperformed a method using only a single kind of visual feature and one combining multiple kinds of features with a fixed weight.

  • Real-Time Local Word Database Construction from Twitter 査読

    Takuya Kamimura, Naoko Nitta, Noboru Babaguchi

    2015 IEEE INTERNATIONAL CONFERENCE ON SMART CITY/SOCIALCOM/SUSTAINCOM (SMARTCITY)   299 - 306   2015年

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    Recently, geotagged posts to social media such as Twitter have been used to automatically construct a geographical dictionary containing diverse types of local words which indicate specific locations in the real world. The existing methods typically examine the spatial locality of the usage patterns observed in the geotagged posts accumulated for a certain period of time to select the local words; however, how long the geotagged posts need to be accumulated depends on the usage frequency of the word, and additionally, some local words can indicate different locations at different times. Thus, we propose a real-time method for constructing a local word database which consistently keeps the local words and their locations up to date by iteratively adding new local words, removing old temporary local words, and updating the locations indicated by the local words. These functions are realized by adaptively recording/resetting the usage history of each word to properly examine its spatial locality and by assigning the weight for each geotag which is used to represent the locations indicated by the local words according to their temporal variations. The local word database constructed by our proposed method was verified to contain more up-todate local words and locations compared to other types of geographical dictionary constructed by experts, crowdsourcing, and from the geotagged tweets accumulated for a fixed period of time based on the performance evaluations of tweet location estimation as an example of applications utilizing the geographical dictionaries.

  • 単語間の関係性の経時変化を考慮したマイクロブログからの実世界観測情報の抽出 査読

    新田直子, 角谷直人, 馬場口登

    日本データベース学会論文誌   vol.13-J ( no.1 )   7 - 12   2014年10月

  • [招待講演]空間軸を限定したプライバシー情報保護活用基盤 招待

    馬場口登

    2014年9月

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    FIT2014イベント企画:時空間を制限したプライバシー情報保護活用のための社会基盤の構築に向けて 於:筑波大学

  • [招待講演]空間を限定したプライバシー情報保護・活用基盤 招待

    馬場口登

    2014年2月

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    International Workshop on Information Systems for Social Innovation,国立情報学研究所,一橋講堂

  • [解説]センシングにおけるプライバシー情報の保護と利用 招待

    馬場口登

    画像ラボ   25 ( 1 )   1 - 6   2014年1月

  • Camera oscillation pattern for VSLAM: Translational versus rotational 査読

    Mohamed Heshmat, Mohamed Abdellatif, Kazuaki Nakamura, A. A. Abouelsoud, Noboru Babaguchi

    2014 International Conference on 3D Imaging, IC3D 2014 - Proceedings   2014年

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    Visual SLAM algorithms exploit natural scene features to infer the camera motion and build a map of the environment landmarks. SLAM algorithm has two interrelated processes localization and mapping. For accurate localization, we need the features location estimates to converge quickly. On the other hand, to build an accurate map, we need accurate localization. Recently, a biologically inspired approach exploits deliberate camera oscillation has been used to improve the convergence speed of depth estimate. In this paper, we explore the effect of camera oscillation pattern on the accuracy of VSLAM. Two main oscillation patterns are used for distance estimation: translational and rotational. Experiments, using static and moving robot, are made to explore the effect of these oscillation patterns on the VSLAM performance.

  • Dynamic feature detection using virtual correction and camera oscillations 査読

    Mohamed Heshmat, Mohamed Abdellatif, Kazuaki Nakamura, A. A. Abouelsoud, Noboru Babaguchi

    2014 International Conference on 3D Imaging, IC3D 2014 - Proceedings   2014年

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    Visual SLAM algorithms exploit natural scene features to infer the camera motion and build a map of a static environment. In this paper, we relax the severe assumption of a static scene to allow for the detection and deletion of dynamic points. A new 'virtual correction' method is introduced which serves to detect the dynamic points by checking the re-projection error of the points before and after the virtual measurement update. It can also recover the erroneously excluded useful features, particularly the distant points which may be deleted because of the change in its position after new measurement observation. Deliberate camera oscillations are also used to improve the VSLAM accuracy and the camera observability. The simulation results showed the effectiveness of the virtual correction when combined with camera oscillation in recovering the misclassified features and detecting the dynamic features even in difficult scenarios.

  • Real-world event detection using Flickr images 査読

    Naoko Nitta, Yusuke Kumihashi, Tomochika Kato, Noboru Babaguchi

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)   8326 ( 2 )   307 - 314   2014年

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    This paper proposes a real-world event detection method by using the time and location information and text tags attached to the images in Flickr. Events can generally be detected by extracting images captured at the events which are annotated with text tags frequently used only in specific times and locations. However, such approach can not detect events where only a small number of images were captured. We focus on the fact that semantically related events often occur around the same time at different locations. Considering a group of these events as an event class, the proposed method firstly detects event classes from all images in Flickr based on their similarity of the captured time and text tags. Then, from the images consisting each event class, events are detected based on their similarity of the captured locations. Such two-step approach enables us to detect events where a small number of images were captured. © 2014 Springer International Publishing.

  • [招待講演]センシングにおけるプライバシー情報の保護と利用 招待

    馬場口登

    2013年12月

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    情報処理学会四国支部講演会,愛媛大学

  • Special Issue on Intelligent Video Surveillance for Public Security and Personal Privacy 招待

    Noboru Babaguchi, Andrea Cavallaro, Rama Chellappa, Frederic Dufaux, Liang Wang

    IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY   8 ( 10 )   1559 - 1561   2013年10月

  • [解説]プライバシー考

    馬場口登

    特別寄稿, NTT Docomo テクニカル・ジャーナル   21 ( 3 )   4 - 5   2013年8月

  • [Invited Speech] Protection and Utilization of Privacy Information 招待

    N. Babaguchi

    2013年7月

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    First International Workshop on Information Hiding and its Criteria for evaluation (IWIHC2014), (in conjunction with ASIACCS 2014), Kyoto, Japan

  • [Keynote Speech] Example-Based Remixing of Multimedia Contents 招待

    N. Babaguchi

    1st International Workshop on Media Fragment Creation and reMIXing (MMIX'13, Co-located WS at ICME2013)   2013年7月

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    San Jose

  • [招待講演]プライバシー情報保護活用基盤「開示と利益が調和する知的空間」 招待

    馬場口登

    2013年7月

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    ビッグデータと“程よい”プライバシー・ワークショップ,学術総合センター,一橋記念講堂

  • [招待講演]センシングで得られるプライバシー情報の保護と利用 招待

    馬場口登

    PRMU2013-22   PRMU2013 ( 22 )   17 - 22   2013年6月

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    於 PRMU研究会,NTT武蔵野研究開発センタ

  • [Invited Speech] Protection and Utilization of Privacy Information 招待

    N. Babaguchi

    2013年3月

     詳細を見る

    International Science Cafe, Grand Front Osaka

  • [パネル討論]ロードマップ作成から見えてきた情報処理研究分野の将来

    馬場口登, 鈴木陽一, 越前功, 日置尋久, 青木直史

    電子情報通信学会技術研究報告   EMM2012-95,112 ( 420 )   25 - 30   2013年1月

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    於 EMM研究会,東北大学

  • Content analysis for home videos 招待 査読

    Naoko Nitta, Noboru Babaguchi

    ITE Transactions on Media Technology and Applications   1 ( 2 )   91 - 100   2013年

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    The popularity of hand-held video camcorders has increased the amount of poor-quality home videos captured by amateur camcorder users. This paper introduces the content analysis techniques, namely, techniques for segmentation, indexing, and static and dynamic representation generation, which have been developed to help viewers watch such poor-quality videos by considering the characteristics of home videos.

  • Depth-estimation-free condition for projective factorization and its application to 3D reconstruction 査読

    Yohei Murakami, Takeshi Endo, Yoshimichi Ito, Noboru Babaguchi

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)   7727 ( 4 )   150 - 162   2013年

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    This paper concerns depth-estimation-free conditions for projective factorization. We first show that, using an algebraic approach, the estimation of the projective depth is avoidable if and only if the origins of all camera coordinate systems are lying on a single plane, and optical axes of the coordinate systems point the same direction that is perpendicular to the plane. Next, we generalize the result to the case where the points are possibly restricted on a plane or on a line. The result clearly reveals the trade-off between the freedom of camera motion and that of point location. We also give a least-square-based method for Euclidean reconstruction from the result of the projective reconstruction. The proposed method is evaluated through simulation from the viewpoint of computational time. © 2013 Springer-Verlag.

  • Efficient DC term encoding scheme based on double prediction algorithms and Pareto probability models 査読

    Ting-Yu Ko, Chi-Jung Tseng, Hsin-Hui Chen, Jian-Jiun Ding, Noboru Babaguchi

    Proceedings - IEEE International Conference on Multimedia and Expo   2013年

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    In this paper, a new algorithm which adopts the techniques of double prediction and the Pareto probability model was applied to encode the DC term in the JPEG compression process. Conventionally, the DC term was encoded by differential coding, i.e., the difference of the DC values between the current block and the previous block. In this paper, we first use the DC terms of four adjacent blocks to predict the current DC value. We then further use the prediction error of the four adjacent blocks to estimate the variance of the prediction error of the current block. We call it the double prediction algorithm. Next, the Pareto distribution is applied to model the probability distribution of the prediction error. Simulation results show that, with the proposed algorithms, the data size required for DC terms is significantly reduced by 25% ∼ 60% and a much higher compression rate can be achieved. © 2013 IEEE.

  • People counting across spatially disjoint cameras by flow estimation between foreground regions 査読

    Naoko Nitta, Takayuki Nakazaki, Kazuaki Nakamura, Ryota Akai, Noboru Babaguchi

    2013 10th IEEE International Conference on Advanced Video and Signal Based Surveillance, AVSS 2013   414 - 419   2013年

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    Our goal is to develop a method for counting the number of people traveling over a wide area monitored by spatially disjoint multiple cameras with non-overlapping fields of view. The proposed method counts the number of people traversing across each pair of cameras' fields of view by estimating the flows between the foreground regions which have disappeared from and appeared in the camera views within a short time interval. The approach aims at resolving two problems: people in a foreground region can split and merge outside the cameras' fields of view, and the appearance variance of the same person and persons with similar appearance can lead to errors in person re-identification across cameras. The average errors of 0.184 persons in counting the number of people traveling over an area in a university campus monitored by four virtual cameras for 100 minutes have demonstrated the effectiveness of the proposed method. © 2013 IEEE.

  • Real-time privacy protection system for social videos using intentionally-captured persons detection 査読

    Tatsuya Koyama, Yuta Nakashima, Noboru Babaguchi

    Proceedings - IEEE International Conference on Multimedia and Expo   6 pages   2013年

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    Most social videos, which are uploaded and shared through social networking services (SNSs), e.g., YouTube and Facebook, contain not only intentionally-captured persons (ICPs) but also non-ICPs who are unexpectedly framed in, such as passers-by. Sharing such social videos may infringe on the non-ICPs' privacy but not on the ICPs' in many cases
    however, existing systems for video privacy protection simply obscure persons without distinguishing ICPs from non-ICPs. This naive obscuration may spoil the videos. Since this is a critical problem especially for social videos, in this paper, we propose a novel system for automatically generating privacy-protected videos in real-time. Our system localizes ICPs and non-ICPs using ICP detection leveraging the spatial and temporal consistency of ICPs/non-ICPs and obscures the non-ICPs. We have experimentally evaluated the performance of ICP detection and demonstrated the applicability of our system. © 2013 IEEE.

  • [特別講演]マルチメディア処理とプライバシー保護-実フィールドにおけるプライバシー情報開示と新たなサービスに向けて- 招待

    馬場口登

    電子情報通信学会技術研究報告   EMM2012-61,112 ( 226 )   33 - 38   2012年10月

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    於 EMM研究会,幕張メッセ

  • [招待講演]映像メディアとプライバシー保護 招待

    馬場口登

    2012年4月

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    平成24年度電気四学会関西支部合同報告会・講演会,中央電気倶楽部

  • A hybrid mobile-fixed surveillance system, a new solution for public security Case study: abandoned objects' owner alert system(共著)

    K.Masui, M.-S.Dao, N.Babaguchi

    IEICE Technical Report   2012年3月

  • Intended human object detection for automatically protecting privacy in mobile video surveillance 査読

    Yuta Nakashima, Noboru Babaguchi, Jianping Fan

    MULTIMEDIA SYSTEMS   18 ( 2 )   157 - 173   2012年3月

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    With the recent popularization of mobile video cameras including camera phones, a new technology, mobile video surveillance, which uses mobile video cameras for video surveillance has been emerging. Such videos, however, may infringe upon the privacy of others by disclosing privacy sensitive information (PSI), i.e., their appearances. To prevent videos from infringing on the right to privacy, new techniques are required that automatically obscure PSI regions. The problem is how to determine the PSI regions to be obscured while maintaining enough video content to present the camera persons' capture-intentions, i.e., what they want to record in their videos to achieve their surveillance tasks. To this end, we introduce a new concept called intended human objects that are defined as human objects essential for capture-intentions, and develop a new method called intended human object detection that automatically detects the intended human objects in videos taken by different camera persons. Through the process of intended human object detection, we develop a system for automatically obscuring PSI regions. We experimentally show the performance of intended human object detection and the contributions of the features used. Our user study shows the potential applicability of our proposed system.

  • [解説]事例に基づく映像シーンに対する音楽ミキシング

    新田直子, 馬場口登

    画像ラボ   23 ( 1 )   7 - 13   2012年1月

  • Abandoned Object’s Owner Detection: A Case Study of Hybrid Mobile-fixed Video Surveillance System 査読

    M.-S. Dao, R. Mattivi, F. G.B. De Natale, K. Masui, N. Babaguchi

    Proc. of 9th IEEE International Conference on Advanced Video and Signal-Based Surveillance(AVSS2012)   404 - 409   2012年

  • Classification based group photo retrieval with Bag of People features 査読

    Kazuya Shimizu, Yujiro Nakai, Naoko Nitta, Noboru Babaguchi

    Proceedings of the 2nd ACM International Conference on Multimedia Retrieval, ICMR 2012   2012年

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    This paper proposes a method for retrieving images containing a specific target person from a given image collection of group photos. This can be realized by query-by-example methods which compare the facial visual features of the target person in the given query image and of each person in the images in the image collection. However, since images are often taken under various conditions, facial appearance of the same person can vary. Since socially related people such as family and friends are often taken photos together, the people co-occurrence relations in the same images can also be a useful clue for image retrieval. Focusing on such people co-occurrence relations, we propose Bag of People (BoP) features which represent both the facial appearances of persons and their co-occurrence relations in the same images. By using the BoP features, a classifier for classifying images into two classes, images containing the target person and other images, can be trained from a small number of images labeled by user's relevance feedback. Furthermore, since the labeled images obtained by relevance feedback are much fewer than unlabeled images in the image collection, an active learning method is used to select useful images to train the classifier. When retrieving images of 24 persons in total from 550 images, after five feedback iterations, the mean average precision of 0.94 was obtained by considering the people co-occurrence relations, as against 0.69 when considering only the target person. Copyright © 2012 ACM.

  • DELIVERY METHOD FOR VIEWER-SPECIFIC PRIVACY PROTECTED VIDEO USING DISCRETE WAVELET TRANSFORM 査読

    Naoya Fukuoka, Yoshimichi Ito, Noboru Babaguchi

    2012 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP 2012)   2285 - 2288   2012年

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    This paper presents a delivery method for viewer-specific privacy protected video, where "viewer-specific" implies that the way of privacy protection (e.g., box, mosaic, transparency) varies according to viewer's authority. In this method, in order to reduce the load of a delivery server, viewer-specific privacy protected videos are not produced at the delivery server, but they are produced at each viewer's terminal. The delivery server extracts and decomposes the information of human objects, and then embeds the information into background images using information hiding technique. Each viewer extracts a part of the decomposed information of human objects according to his/her authority, and then produces privacy protected video by integrating the extracted information. In this method, the discrete wavelet transform (DWT) plays a key role. The proposed method is evaluated through experiments.

  • MARKOV RANDOM FIELD-BASED REAL-TIME DETECTION OF INTENTIONALLY-CAPTURED PERSONS 査読

    Tatsuya Koyama, Yuta Nakashima, Noboru Babaguchi

    2012 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP 2012)   1377 - 1380   2012年

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    Most videos taken by videographers contain intentionally-captured persons (ICPs), who are essential for what the videographers want to express in their video. This paper presents a method to detect ICPs in real-time. Whether a person in a video is an ICP or not is reflected in features such as the person's motion and camera motion, which are thus beneficial for detecting ICPs. However, estimating camera motion is computationally expensive. For real-time detection, we use samples of acceleration and angular velocity obtained from inertial sensors instead of estimating camera motion. Considering that pairwise constraints based on differences between persons' sizes also improve the detection performance, we model the ICPs using Markov random field. We experimentally evaluate the performance of our method and demonstrate that it works in real-time.

  • Extracting Context Information from Microblog based on Analysis of Online Reviews 査読

    Takumi Takehara, Shohei Miki, Naoko Nitta, Noboru Babaguchi

    2012 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO WORKSHOPS (ICMEW)   248 - 253   2012年

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    Recommender systems automatically determine suitable items for users. Although preferences or context of users have been widely utilized in order to evaluate the suitability of the items for users, the surrounding context have little been considered. Focusing on that many ordinary human beings voluntarily report their observations of the current situation of the world to microblogs, this paper proposes a recommender system which not only recommends suitable restaurants to users based on their preferences and context but also provides the surrounding context information reported to microblogs which will further affect the users' restaurant selection behaviors. In particular, considering that such influential surrounding context information in microblogs includes keywords related to restaurant assessment, we propose a method for automatically determining the keywords to extract the context information by analyzing online reviews, which have been gathered also from ordinary human beings over a long period of time. The experiments by using Twitter as microblogs and Tabelog, a popular online restaurant review site in Japan, to obtain online reviews, indicated that the influential context information can be extracted from Twitter with the highest recall of 93.3% by using the area-related keywords. Additionally using the restaurant-related keywords was effective in removing irrelevant information obtaining the precision of 15.9%.

  • Tablet Owner Authentication Based on Behavioral Characteristics of Multi-Touch Actions 査読

    Kumi Nakamura, Kazuhiro Kono, Yoshimichi Ito, Noboru Babaguchi

    2012 21ST INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR 2012)   3431 - 3434   2012年

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    This paper proposes a method for tablet owner authentication based on behavioral characteristics of multiple fingers' actions called multi-touch actions. The method is based on dynamic time warping, which has been commonly used for authentication using pentablet or single finger's actions, but another problem arises due to the use of multi-touch actions (e. g., identifying fingers). We also provide methods for these problems. Using proposed method, we evaluate the authentication accuracies for several types of multi-touch actions through experiments.

  • Indoor Positioning System Using Digital Audio Watermarking 査読

    Yuta Nakashima, Ryosuke Kaneto, Noboru Babaguchi

    IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS   E94D ( 11 )   2201 - 2211   2011年11月

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    Recently, a number of location-based services such as navigation and mobile advertising have been proposed. Such services require real-time user positions. Since a global positioning system (GPS), which is one of the most well-known techniques for real-time positioning, is unsuitable for indoor uses due to unavailability of GPS signals, many indoor positioning systems (IPSs) using WLAN, radio frequency identification tags, and so forth have been proposed. However, most of them suffer from high installation costs. In this paper, we propose a novel IPS for real-time positioning that utilizes a digital audio watermarking technique. The proposed IPS first embeds watermarks into an audio signal to generate watermarked signals, each of which is then emitted from a corresponding speaker installed in a target environment. A user of the proposed [PS receives the watermarked signals with a mobile. device equipped with a microphone, and the watermarks are detected in the received signal. For positioning, we model various effects upon watermarks due to propagation in the air, i.e., delays, attenuation, and diffraction. The model enables the proposed IPS to accurately locate the user based on the watermarks detected in the received signal. The proposed IPS can be easily deployed with a low installation cost because the IPS can work with off-the-shelf speakers that have been already installed in most of the indoor environments such as department stores, amusement arcades, and airports. We experimentally evaluate the accuracy of positioning and show that the proposed IPS locates the user in a 6 m by 7.5 m room with root mean squared error of 2.25 m on average. The results also demonstrate the potential capability of real-time positioning with the proposed IPS.

  • [招待講演]権利保護のためのマルチメディア処理 招待

    馬場口登

    電子情報通信学会技術研究報告   EMM2011-3,111 ( 74 )   11 - 16   2011年5月

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    於 EMM研究会,国立情報学研究所

  • Anonymous Communication System Based on Multiple Loopbacks 査読

    K. Kono, S. Nakano, Y. Ito, N. Babaguchi

    Journal of Information Assurance and Security   6 ( 2 )   124 - 131   2011年2月

  • Example-based video remixing 査読

    Naoko Nitta, Noboru Babaguchi

    MULTIMEDIA TOOLS AND APPLICATIONS   51 ( 2 )   649 - 673   2011年1月

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    A video remix is generally created by arranging selected video clips and combining them with other media streams such as audio clips and video transition effects. This paper proposes a system for semi-automatically creating video remixes of good expressive quality. Given multiple original video clips, audio clips, and transition effects as the input, the proposed system generates a video remix by five processes: I) video clip sequence generation, II) audio clip selection, III) audio boundary extraction, IV) video segment extraction, and V) transition effect selection, based on the spatial and temporal structural patterns automatically learned from professionally created video remix examples. Experiments using movie trailers of action genre as video remix examples not only demonstrate that video remixing by professionals can be imitated based on examples but also reveal that the video clip sequence generation and audio clip selection are the most important processes to improve the perceived expressive quality of video remixes.

  • 【フェロー記念講演】セマンティックギャップに架ける橋 招待

    馬場口登

    電子情報通信学会技術研究報告   PRMU2010-184   2011年1月

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    立命館大学

  • Automatic generation of privacy-protected videos using background estimation 査読

    Yuta Nakashima, Noboru Babaguchi, Jianping Fan

    Proceedings - IEEE International Conference on Multimedia and Expo   2011年

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    Recently, video sharing services such as YouTube and Daily-motion have become popular and many videos taken with mobile video cameras are uploaded to such a video sharing service. However, such videos can infringe on the privacy right of people in the videos because they may contain privacy sensitive information (PSI) of the people, i.e., their appearances. This strongly motivates us to develop a technique to generate privacy-protected videos. In this paper, we propose a novel system for automatic generation of privacy-protected videos based on background estimation. In most conventional techniques, objects that contain PSI are detected and obscured by, e.g., blurring. Conversely, in our system, background pixels are estimated and then substituted with intended human objects that are essential for the camera person's capture intention. We quantitatively evaluate our system to demonstrate its potential applicability. © 2011 IEEE.

  • Content-preserving zoom-in view generation for surveillance videos 査読

    Kenji Watanabe, Naoko Nitta, Noboru Babaguchi

    COMPUTATIONAL IMAGING IX   7873   2011年

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    There are several zoom-in video display methods including full-zoom and fisheye view that magnify the regions of interest (ROIs). However, those methods usually discard or deform the remaining regions without considering their content. In this paper, we propose a method for generating a content-preserving zoom-in view which magnifies ROIs and at the same time preserves the content of the remaining regions. Targeting on surveillance videos, our method firstly extracts moving objects from every input frame as ROIs. Then, the importance score is calculated for each pixel in the input frame based on its content to determine where the deformation, which may cause the destruction of the content, should be avoided. Finally, a mapping problem from the input frame to the zoom-in view with respect to the importance score is formulated to deform less important regions more than the important ones. Experiments are conducted to study the effectiveness of considering the content importance. We also compare the results of our method with those of other methods, fisheye view and a method of using uniform scaling and seam carving.

  • Example-based video remixing for home videos

    Naoko Nitta, Noboru Babaguchi

    Proceedings - IEEE International Conference on Multimedia and Expo   2011年

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    Video remixes are generally created by sequentially arranging selected video clips and combining them with other media streams such as audio clips. In this paper, an example-based approach is adopted for semi-automatically creating video remixes of good expressive quality from home videos. Given multiple home video clips and audio clips, the proposed system generates a video remix by four processes: I)video clip sequence generation, II)audio clip selection, III)audio boundary extraction, and IV)video segment extraction based on professionally created video remix examples. A user interface which presents video clips according to their suitability to the examples and their perceived quality is developed so that users can efficiently and effectively select and arrange suitable video clips in video clip sequence generation. By using movie trailers of action genre as video remix examples, a 43-second video remix was created from 45-minute home videos and was subjectively evaluated better than the one created considering only the perceived quality of video clips. © 2011 IEEE.

  • Learning people co-occurrence relations by using relevance feedback for retrieving group photos

    Kazuya Shimizu, Naoko Nitta, Noboru Babaguchi

    Proceedings of the 1st ACM International Conference on Multimedia Retrieval, ICMR'11   2011年

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    This paper proposes an image retrieval method which retrieves images of a specific person from group photos. Many query-by-example methods have focused only on the visual features of the queried person. However, since socially related people such as family and friends are often taken photos together, their co-occurrence relations can be useful information. Thus, we propose an image retrieval method which uses the visual features of not only the queried person but also those who co-occur with the queried person in the same images. Relevance feedback is used to learn who co-occur with the queried person, their faces, and how strong their co-occurrence relations are. When retrieving the images of 19 persons in total from 158 images, after five feedback iterations, the recall rate of 50% was obtained by considering the people co-occurrence relations, as against 33% when considering only the queried person. With human errors in giving relevance feedback, the recall rate still improved to 40%. © 2011 ACM.

  • Image Retrieval Considering People Co-occurrence Relations Using Relevance Feedback 査読

    Kazuya Shimizu, Naoko Nitta, Noboru Babaguchi

    MULTIMEDIA ON MOBILE DEVICES 2011 AND MULTIMEDIA CONTENT ACCESS: ALGORITHMS AND SYSTEMS V   7881   2011年

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    The recent popularity of digital cameras allows us to take a large number of images. There is an increasing need for efficiently and accurately retrieving images containing a specific person from such image collections. While only the visual features of the specific person are used in many query-by-example retrieval methods, we focus on the fact that some people such as family or friends are more likely to appear in the same images than others and use visual features of not only the queried person but also people who have strong co-occurrence relations with the queried person to improve the retrieval performance. The relevance feedback is used to learn who co-occur with the queried person in the same images, their faces, and the strength of their co-occurrence relations. For 116 images collected from 6 persons, after five feedback iterations, the recall rate of 53% was obtained by considering the co-occurrence relations among people, as against 34% when using only features of the queried person.

  • Extracting intentionally captured regions using point trajectories 査読

    Yuta Nakashima, Noboru Babaguchi

    MM'11 - Proceedings of the 2011 ACM Multimedia Conference and Co-Located Workshops   1417 - 1420   2011年

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    When camera persons take videos with mobile video cameras, they usually have capture intentions, i.e., what they want to express in their videos, and there are intentionally captured regions (ICRs) in the video frames that are essential for the capture intentions. Extracting ICRs is thus beneficial for wide range of applications such as video summarization and video adaptation for small displays. In this paper, we present a novel method for automatically extracting ICRs. A camera person usually moves his/her camera so that ICRs can be arranged in appropriate positions in video frames
    therefore, ICRs can yield specific motion. This observation indicates that such specific motion is a vital cue for extracting ICRs. The proposed method represents motion by point trajectories, which are long-term trajectories of spatially dense points in video frames, and extracts ICRs using an ICR model based on the point trajectories. We experimentally evaluate the proposed method to demonstrate its potential applicability. Copyright 2011 ACM.

  • Example-based video remixing support system 査読

    Naoko Nitta, Noboru Babaguchi

    MM'11 - Proceedings of the 2011 ACM Multimedia Conference and Co-Located Workshops   563 - 572   2011年

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    Video remixes are generally created by sequentially arranging selected video clips and mixing them with other media streams such as audio clips and transition effects. Especially, mixing music clips often effectively improves the expressive quality of video clips. This paper proposes an example-based system for supporting average users in the 3 steps in video remixing: I)video shot sequence creation, II)music clip selection, and III)audio volume adjustment. The proposed system creates a template for a video remix and gives suggestions to users on an interface such as which video clips should be selected to create a video shot sequence and which music clips should be mixed to the created video shot sequence based on professionally created video remix examples. Then, the audio volume of each video shot is automatically adjusted based on its audio content so that the sounds in the video shots and the music clips would not interfere with each other. Experiments have verified that our system was able to create a video shot sequence whose quality was improved equally as the professionally created one by mixing the selected music clips, doubling the subjective scores from 1.7 to 3.7 on a scale of 1-5. Automatic audio volume adjustment improved the subjective scores by approximately 0.5 points on average. Further, the suggestions provided on the interface was evaluated useful by 5 subjects when creating a video remix by selecting 32 video clips and 4 music clips from 265 video clips and 180 music clips. © 2011 ACM.

  • Three-Level Privacy Control for Sensing-Based Real-World Content Digital Diorama(共著)

    T. Takehara, N. Nitta, N. Babaguchi

    Proc. of Third International Conference on Internet Multimedia Computing and Service (ICIMCS2011)   17 - 20   2011年

  • 不均衡データからのランダムフォレストを利用した高速高次特徴抽出 査読

    河合吉彦, 住吉英樹, 藤井真人, 柴田正啓, 馬場口登

    映像情報メディア学会誌   64 ( 12 )   1951 - 1955   2010年12月

  • [Invited Speech] Visual Processing for Privacy-Sensitive Information 招待

    Noboru Babaguchi

    2010年10月

     詳細を見る

    DISI Seminar Series, University of Trento, Italy

  • A new spatio-temporal method for event detection and personalized retrieval of sports video 査読

    Minh-Son Dao, Noboru Babaguchi

    MULTIMEDIA TOOLS AND APPLICATIONS   50 ( 1 )   227 - 248   2010年10月

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    In this paper, a new spatio-temporal method for adaptively detecting events based on Allen temporal algebra and external information support is presented. The temporal information is captured by presenting events as the temporal sequences using a lexicon of non-ambiguous temporal patterns. These sequences are then exploited to mine undiscovered sequences with external text information supports by using class associate rules mining technique. By modeling each pattern with linguistic part and perceptual part those work independently and connect together via transformer, it is easy to deploy this method to any new domain (e.g baseball, basketball, tennis, etc.) with a few changes in perceptual part and transformer. Thus the proposed method not only can work well in unwell structured environments but also can be able to adapt itself to new domains without the need (or with a few modification) for external re-programming, re-configuring and re-adjusting. Results of automatic event detection progress are tailored to personalized retrieval via click-and-see style using either conceptual or conceptual-visual query scheme. Experimental results carried on more than 30 hours of soccer video corpus captured at different broadcasters and conditions as well as compared with well-known related methods, demonstrated the efficiency, effectiveness, and robustness of the proposed method in both offline and online processes.

  • Constructing Distributed Hippocratic Video Databases for Privacy-Preserving Online Patient Training and Counseling 査読

    Jinye Peng, Noboru Babaguchi, Hangzai Luo, Yuli Gao, Jianping Fan

    IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE   14 ( 4 )   1014 - 1026   2010年7月

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    Digital video now plays an important role in supporting more profitable online patient training and counseling, and integration of patient training videos from multiple competitive organizations in the health care network will result in better offerings for patients. However, privacy concerns often prevent multiple competitive organizations from sharing and integrating their patient training videos. In addition, patients with infectious or chronic diseases may not want the online patient training organizations to identify who they are or even which video clips they are interested in. Thus, there is an urgent need to develop more effective techniques to protect both video content privacy and access privacy. In this paper, we have developed a new approach to construct a distributed Hippocratic video database system for supporting more profitable online patient training and counseling. First, a new database modeling approach is developed to support concept-oriented video database organization and assign a degree of privacy of the video content for each database level automatically. Second, a new algorithm is developed to protect the video content privacy at the level of individual video clip by filtering out the privacy-sensitive human objects automatically. In order to integrate the patient training videos from multiple competitive organizations for constructing a centralized video database indexing structure, a privacy-preserving video sharing scheme is developed to support privacy-preserving distributed classifier training and prevent the statistical inferences from the videos that are shared for cross-validation of video classifiers. Our experiments on large-scale video databases have also provided very convincing results.

  • Theoretical Analysis of the Performance of Anonymous Communication System 3-Mode Net 査読

    Kazuhiro Kono, Shinnosuke Nakano, Yoshimichi Ito, Noboru Babaguchi

    IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES   E93A ( 7 )   1338 - 1345   2010年7月

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    This paper aims at analyzing the performance of an anonymous communication system 3-Mode Net with respect to the number of relay nodes required for communication and sender anonymity. As for the number of relay nodes, we give explicit formulas of the probability distribution, the expectation, and the variance. Considering sender anonymity, we quantify the degree of sender anonymity under a situation where some relay nodes collude with each other. The above analyses use random walk theory, a probability generating function, and their properties. From obtained formulas, we show several conditions for avoiding a situation where the number of relay nodes becomes large, and for providing high sender anonymity. Furthermore, we investigate the relationship between the number of relay nodes and sender anonymity, and give a condition for providing a better performance of 3MN.

  • [解説]視覚的なプライバシー・センシティブ情報とその処理

    馬場口 登

    「監視社会における プライバシー保護のあり方特集号」, システム/制御/情報   54 ( 6 )   242 - 247   2010年6月

  • [招待講演]センサ情報に基づく実世界コンテンツ 招待

    馬場口登

    2010年3月

     詳細を見る

    情報処理学会創立50周年記念(第72回)全国大会,イベント企画「センシングWebとプライバシマネジメント」,東京大学

  • A Consideration on the Numbers of Relay Nodes and Encryption Required for Anonymous Communication System 3-Mode Net 査読

    K. Kono, S. Nakano, Y. Ito, N. Babaguchi

    Journal of Information Assurance and Security   5 ( 3 )   276 - 283   2010年1月

  • Recoverable Privacy Protection for Video Content Distribution 査読

    Guangzhen Li, Yoshimichi Ito, Xiaoyi Yu, Naoko Nitta, Noboru Babaguchi

    EURASIP Journal on Information Security   2009   Article No. 293031 - 11 pages   2010年1月

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    This paper presents a method which attains recoverable privacy protection for video content distribution. The method is based on discrete wavelet transform (DWT), which generates scaling coefficients and wavelet coefficients. In our method, scaling coefficients, which can be regarded as a low-resolution image of an original image, are used for producing privacy-protected image. On the other hand, wavelet coefficients, which can be regarded as privacy information, are embedded into the privacy-protected image via information hiding technique. Therefore, privacy protected image can be recovered by authorized viewers if necessary. The proposed method is fully analyzed through experiments from the viewpoints of the amount of the embedded privacy information, the deterioration due to the embedding, and the computational time. © 2009 Guangzhen Li et al.

  • 番組紹介テキストの特徴に基づく番組紹介スポットの自動生成 査読

    河合吉彦, 住吉英樹, 柴田正啓, 八木伸行, 馬場口登

    映像情報メディア学会誌   64 ( 1 )   85 - 93   2010年1月

  • [解説]マルチメディア検索の技術動向

    馬場口登

    映像情報メディア学会誌, 講座:マルチメディア検索の最前線(第1回)   64 ( 1 )   58 - 63   2010年1月

  • Automatically protecting privacy in consumer generated videos using intended human object detector 査読

    Yuta Nakashima, Noboru Babaguchi, Jianping Fan

    MM'10 - Proceedings of the ACM Multimedia 2010 International Conference   1135 - 1138   2010年

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    The growing popularity of video sharing services such as YouTube enables us to upload and share consumer generated videos (CGVs) easily, resulting in disclosure of the privacy sensitive information (PSI) of persons, i.e., their appearances. Therefore, we need a technique for automatically protecting the privacy in CGVs
    however, the main problem is how to determine PSI regions automatically. In this paper, we propose a novel system for automatically protecting the privacy in CGVs. The proposed system tackles the problem of determining PSI regions by using an intended human object detector that detects human objects which the camera person wanted to capture to achieve his/her capture intention. In addition, the proposed system adopts several PSI obscuring methods such as blocking out, blurring and seam carving. We present the results of subjective evaluations of a privacy protected video in terms of the visual quality and acceptability of PSI disclosure, as well as the performance of the intended human object detector. © 2010 ACM.

  • Detecting intended human objects in human-captured videos 査読

    Yuta Nakashima, Noboru Babaguchi, Jianping Fan

    2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops, CVPRW 2010   33 - 40   2010年

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    When people take videos, they always want to capture intended objects, which are essential for presenting what they want to express in their videos, and to share the intended objects with others. The concept of intended objects provide a novel perspective for video content analysis, and detecting intended objects may be beneficial for wide range of applications such as video understanding and semantics interpretation, video summarization, video adaptation, video privacy protection, and so on. In this paper, we focus on a particular type of intended objects, i.e., intended human objects, and an interesting method is developed for detecting intended human objects automatically from human-captured videos. We also investigate the correlation between intended human objects and visual attention. Our experimental results indicate that our method can successfully detect the intended human objects. © 2010 IEEE.

  • Hierarchical anomality detection based on situation 査読

    Shuichi Nishio, Hiromi Okamoto, Noboru Babaguchi

    Proceedings - International Conference on Pattern Recognition   1108 - 1111   2010年

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    In this paper, we propose a novel anomality detection method based on external situational information and hierarchical analysis of behaviors. Past studies model normal behaviors to detect anomality as outliers. However, normal behaviors tend to differ by situations. Our method combines a set of simple classifiers with pedestrian trajectories as inputs. As mere path information is not sufficient for detecting anomality, trajectories are first decomposed into hierarchical features of different abstract levels and then applied to appropriate classifiers corresponding to the situation it belongs to. Effects of the methods are tested using real environment data. © 2010 IEEE.

  • Face Image Retrieval across Age Variation Using Relevance Feedback 査読

    Naoko Nitta, Atsushi Usui, Noboru Babaguchi

    ADVANCES IN MULTIMEDIA MODELING, PROCEEDINGS   5916   152 - 162   2010年

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    Given a single face image of a specific person as a query, it is very difficult to retrieve all of his/her images from a personal image collection stored for a long term clue to age-related changes in facial appearances. This paper proposes to apply relevance feedback to enhance the performance of image retrieval from the image collections with age variation. Specifically, we propose two types of update schemes: i) query expansion and ii) weight updating and show the effects of each scheme by experiments with two actual image collections. For an image collection, the recall rate improved from 40.8% to 72.5% after five iterations of relevance feedback.

  • EVENT TACTIC ANALYSIS IN SPORTS VIDEO USING SPATIO-TEMPORAL PATTERN 査読

    Minh-Son Dao, Keita Masui, Noboru Babaguchi

    2010 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING   1497 - 1500   2010年

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    Recently, event detection in sports videos has been gaining some remarkable results. Unfortunately, there is a lack of useful tools for users to explore and exploit these event clips on their own demands. In this paper, a novel method using spatio-temporal patterns to analyze event tactics in sports videos is introduced. The proposed method aims to understand tactics of events such as distributions and speeds of players, or attacking/defensive formations throughout a time when such events happen without tracking objects. The major contribution of the proposed method is to model event tactics by using sequence of symbols. Each symbol represents a distribution of players in a certain period of time. Therefore, a sequence of symbols intrinsically is concerned as spatio-temporal patterns. By using these patterns, an event tactic is detected, explained, and integrated into an event video to create a visualizing abstract. This visualizing abstract is very useful to help users understand an event tactic without watching whole clip. Moreover, users could query by an example or by a text to find all events sharing the same tactic. Thorough testing with over 100 goal clips in soccer domain demonstrate the superiority of the proposed method in terms of precision recall ratios.

  • Discriminating intended human objects in consumer videos 査読

    Hiroshi Uegaki, Yuta Nakashima, Noboru Babaguchi

    Proceedings - International Conference on Pattern Recognition   4380 - 4383   2010年

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    In a consumer video, there are not only intended objects, which are intentionally captured by the camcorder user, but also unintended objects, which are accidentally framed-in. Since the intended objects are essential to present what the camcorder user wants to express in the video, discriminating the intended objects from the unintended objects are beneficial for many applications, e.g., video summarization, privacy protection, and so forth. In this paper, focusing on human objects, we propose a method for discriminating the intended human objects from the unintended human objects. We evaluated the proposed method using 10 videos captured by 3 camcorder users. The results demonstrate that the proposed method successfully discriminates the intended human objects with 0.45 of recall and 0.80 of precision. © 2010 IEEE.

  • Digital diorama: Sensing-based real-world visualization 査読

    Takumi Takehara, Yuta Nakashima, Naoko Nitta, Noboru Babaguchi

    Communications in Computer and Information Science   81   663 - 672   2010年

     詳細を見る

    Many sensors around the world are consistently collecting the real-time real-world data. The data streams captured by these sensors can give us an idea of what is going on in a specific area
    however, it is not easy for humans to understand their spatial and temporal relationships by just looking at them independently. This paper proposes to construct Digital Diorama, a three-dimensional view where viewers can see at a glance how people are moving around the monitored space without violating their privacy, by integrating multiple data streams captured by stationary cameras and RFID readers in real time. Digital Diorama realizes such real-world visualization with the following features: 1) view control, 2) real-time camera image superimposition, and 3) privacy control. We have demonstrated that Digital Diorama for a shopping center was able to present the current positions of persons and real-time camera images in approximately 1 frame per second. © Springer-Verlag Berlin Heidelberg 2010.

  • Modeling visual information by spatio-temporal patterns to analyze event tactic in sports video 査読

    Keita Masui, Minh-Son Dao, Noboru Babaguchi

    2010 2nd European Workshop on Visual Information Processing, EUVIP2010   198 - 203   2010年

     詳細を見る

    Although event detection in sports videos has been gaining some remarkable results, tools for exploring and exploiting these event clips on their own demands are far from user's expectation. In this paper, a novel method using spatio-temporal patterns to model visual information tailored to analyze event tactics in sports videos without tracking objects is introduced. The major contribution of the proposed method is to represent visual information by using a sequence of symbols. Each symbol represents a distribution of players in a certain period of time. By using these sequences, event tactics are detected, explained, and visualized to help users understand event tactics without watching whole clips. Moreover, users could query by an example or by a text to find all events sharing the same tactic. Thorough testing with over 100 goal clips in soccer domain demonstrates the superiority of the proposed method in terms of precision recall ratios. ©2010 IEEE.

  • Real-time user position estimation in indoor environments using digital watermarking for audio signals 査読

    Ryosuke Kaneto, Yuta Nakashima, Noboru Babaguchi

    Proceedings - International Conference on Pattern Recognition   97 - 100   2010年

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    In this paper, we propose a method for estimating the user position where a user is holding a microphone in an indoor environment using digital watermarking for audio signals. The proposed method utilizes detection strengths, which are calculated while detecting spread-spectrum-based watermarks. Taking into account delays and attenuation of the watermarked signals emitted from multiple loudspeakers and other factors, we construct a model of detection strengths. The user position is estimated in real-time using the model. The experimental results indicate that the user positions are estimated with 1.3 m of root mean squared error on average for the case where the user is static. We demonstrate that the proposed method successfully estimates the user position even when the user moves. © 2010 IEEE.

  • [解説]グランドチャレンジ

    馬場口登

    映像情報メディア学会誌, ふぉーかす   63 ( 12 )   2009年12月

  • NHK STRL at TRECVID 2009: Surveillance Event Detection and High-Level Feature Extraction 査読

    M. Takahashi, Y. Kawai, M. Fujii, M. Shibata, N. Babaguchi, S. Satoh

    Proc. of TREC Video Retrieval Evaluation (TRECVID) Workshop   2009年11月

  • Digital Diorama: Real-Time Adaptive Visualization of Public Spaces 査読

    T. Takehara, Y. Nakashima, N. Nitta, N. Babaguchi

    Proc. of 1st International Conference on Security Camera Network, Privacy Protection and Community Safety (SPC2009)   2009年10月

  • Security Analysis of Anonymous Communication System 3-Mode Net Against Collaborating Nodes 査読

    K. Kono, S. Nakano, Y. Ito, N. Babaguchi

    Proc. of 2009 APSIPA Annual Summit Conference(APSIPA ASC 2009)   105 - 110   2009年10月

  • [招待講演]映像サーベイランスとプライバシ保護 招待

    馬場口登

    2009年9月

     詳細を見る

    第8回情報科学技術フォーラム(FIT2009),イベント企画「マルチメディア情報ハイディングの最新応用技術と今後の展望」,東北工業大学

  • [解説]パターン認識・メディア理解の10大チャレンジテーマ

    鷲見和彦, 内田誠一, 佐藤真一, 佐藤洋一, 日浦慎作, 福井和広, 馬場口登

    電子情報通信学会誌   92 ( 8 )   665 - 675   2009年8月

  • [解説]今なぜグランドチャレンジか

    馬場口登, 鷲見和彦

    電子情報通信学会誌   92 ( 8 )   640 - 642   2009年8月

  • User and Device Adaptation in Summarizing Sports Videos 査読

    Naoko Nitta, Noboru Babaguchi

    IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS   E92D ( 6 )   1280 - 1288   2009年6月

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    Video summarization is defined as creating a video summary which includes only important scenes in the original video streams. In order to realize automatic video summarization, the significance of each scene needs to be determined. When targeted especially on broadcast sports videos, a play scene, which corresponds to a play, can be considered as a scene unit. The significance of every play scene can generally be determined based on the importance of the play in the game. Furthermore, the following two issues should be considered: 1) what is important depends on each user's preferences, and 2) the summaries should be tailored for media devices that each user has. Considering the above issues, this paper proposes a unified framework for user and device adaptation in summarizing broadcast sports videos. The proposed framework summarizes sports videos by selecting play scenes based on not only the importance of each play itself but also the users' preferences by using the metadata, which describes the semantic content of videos with keywords, and user profiles, which describe users' preference degrees for the keywords. The selected scenes are then presented in a proper way using various types of media such as video, image, or text according to device profiles which describe the device type. We experimentally verified the effectiveness of user adaptation by examining how the generated summaries are changed by different preference degrees and by comparing our results with/without using user profiles. The validity of device adaptation is also evaluated by conducting questionnaires using PCs and mobile phones as the media devices.

  • [招待講演]センシングウェブにおける観測型実世界コンテンツ 招待

    馬場口登

    2009年6月

     詳細を見る

    第23回人工知能学会全国大会,特別セッション「情報の巨大集積化と利活用基盤技術開発」,サンポートホール高松

  • [解説]特集「センシングウェブ」にあたって

    馬場口登, 美濃導彦

    人工知能学会誌   24 ( 2 )   177 - 178   2009年3月

  • [招待講演]超大規模ヘテロセンサネットワーキング技術の応用-センシングWebプロジェクト- 招待

    馬場口登

    2009年2月

     詳細を見る

    極限コミュニケーションラボシンポジウム

  • [招待講演]映像サーベイランスとプライバシー保護

    馬場口登

    2009年1月

     詳細を見る

    システム制御情報学会,システム制御情報講習会特別企画「あなたのプライバシーは護られていますか?-監視社会におけるプライバシー保護のあり方と最近の工学的取り組み-」

  • A New Linguistic-Perceptual Event Model for Spatio-Temporal Event Detection and Personalized Retrieval of Sports Video 査読

    Minh-Son Dao, Sharma Ishan Nath, Noboru Babaguichi

    IMAGE ANALYSIS AND PROCESSING - ICIAP 2009, PROCEEDINGS   5716   594 - 603   2009年

     詳細を見る

    This paper proposes a new linguistic-perceptual event model tailoring to spatio-temporal event detection and conceptual-visual personalized retrieval of sports video sequences. The major contributions of the proposed model are hierarchical structure, independence between linguistic and perceptual part, and ability of capturing temporal information of sports events. Thanks to these advanced contributions, it is very easy to upgrade model events from simple to complex levels either by self-studying from inner knowledge or by being taught from plug-in additional knowledge. Thus, the proposed model not only can work well in unwell structured environments but also is able to adapt itself to new domains without the need (or with a few modification) for external reprogramming, re-configuring and re-adjusting. Thorough experimental results demonstrate that events are modeled and detected with high accuracy and automation, and users' expectation of personalized retrieval is highly satisfied.

  • Matrix-based algorithm for integrating inheritance relations of access rights for policy generation 査読

    Kazuhiro Kono, Yoshimichi Ito, Akihito Aoyama, Hiroaki Kamoda, Noboru Babaguchi

    Journal of Information Processing   17   318 - 327   2009年

     詳細を見る

    This paper presents a matrix-based algorithm for integrating inheritance relations of access rights for generating integrated access control policies which unify management of various access control systems. Inheritance relations of access rights are found in subject, resource, and action categories. Our algorithm first integrates inheritance relations in each category, and next, integrates inheritance relations of all categories. It is shown that these operations can be carried out by basic matrix operations. This enables us to implement the integration algorithm very easily.

  • Performance Analysis of Anonymous Communication System 3-Mode Net 査読

    Kazuhiro Kono, Shinnosuke Nakano, Yoshimichi Ito, Noboru Babaguchi

    FIFTH INTERNATIONAL CONFERENCE ON INFORMATION ASSURANCE AND SECURITY, VOL 2, PROCEEDINGS   593 - 596   2009年

     詳細を見る

    This paper analyzes the performance of 3-Mode Net (3MN), which is a new anonymous communication system proposed in [1]. In particular, we give the probability distributions of the number of relay nodes as well as the number of encryption required for communications. The expectations and variances of these two numbers are also given. These results enable us to grasp the influence of the probabilities of mode selections in 3MN. Numerical examples are also presented to illustrate these results.

  • Psychological study for designing privacy protected video surveillance system: PriSurv 査読

    Noboru Babaguchi, Takashi Koshimizu, Ichiro Umata, Tomoji Toriyama

    Protecting Privacy in Video Surveillance   147 - 164   2009年

     詳細を見る

    Abstract As video surveillance systems are widely deployed, concerns continue to grow about invasion of privacy. We have built a privacy protected video surveillance system called PriSurv. Although PriSurv protects subject privacy using image processing, criteria of controlling the subject's visual information that is privacy-sensitive should be clarified. Visual information must be disclosed by considering the trade-off between privacy and security. The level of privacy-sensitive visual information that could be disclosed to a viewer is simply called disclosable privacy in this chapter. Disclosable privacy, which deeply involves the personal sense, is affected by many factors. A sense of privacy is individual, but in some cases it might have common factors. A sense of privacy is individual, but in some cases it might have common factors. In this chapter, we analyze what factors determine and affect disclosable privacy by applying statistical analysis to questionnaire-based experimental results. These results indicate that disclosable privacy is concerned with how much a subject has feeling of closeness to a viewer and expects the viewer's responsibility. They also show that disclosable privacy differs greatly by individuals. Reflecting the obtained findings in PriSurv's design, we adapt PriSurv to reflect a personal sense of privacy. © 2009 Springer London.

  • Preserving topological information in sub-trajectories-based representation for spatio-temporal trajectories indexing and retrieval 査読

    Minh-Son Dao, Ishan Nath Sharma, Noboru Babaguchi

    MM'09 - Proceedings of the 2009 ACM Multimedia Conference, with Co-located Workshops and Symposiums   641 - 644   2009年

     詳細を見る

    Trajectories of moving objects are known as one of the most important cues for understanding semantics in video data. Although there are a lot of significant researches dealing with trajectory analysis tailored to indexing and retrieval, several problems still remain. One of them is a trade-off between whole trajectory- and sub-trajectories- based methods. The former problem is that representing a trajectory as a whole is not appropriate for detecting similar patterns of the trajectory. In contrast, the latter is that even though some key portion of two trajectories share similar patterns, the whole trajectories may be totally different. Therefore, this paper proposes a novel method to optimize such trade-off. By representing a trajectory as a combination of sequence of "word" - each word's character represents one distinct feature extracted from sub-trajectories (i.e. segments), and a topological graph of trajectory's segments, the proposed method is shift and scale invariant, can handle occlusion and distortion, and can discover similar patterns among trajectories. Thorough comparisons with well-known methods demonstrate the superiority of the proposed method in terms of precision recall ratios. Copyright 2009 ACM.

  • Breaking the YASS Algorithm via Pixels and DCT Coefficients Analysis 査読

    X. Yu, N. Babaguchi

    Proc. of International Conference on Pattern Recognition (ICPR2008)   2008年12月

  • Digital Diorama: Adaptive 3D Visualization System for Indoor Environment 査読

    R. Yamaguchi, Y. Yamamoto, N. Nitta, Y. Ito, N. Babaguchi

    Proc. of International Workshop on Sensig Web   17 - 24   2008年12月

  • NHK STRL at TRECVID 2008: High-Level Feature Extraction and Surveillance Event Detection 査読

    Y. Kawai, M. Takahashi, M. Sano, M. Fujii, M. Shibata, N. Yagi, N. Babaguchi

    Proc. of TREC Video Retrieval Evaluation (TRECVID) Workshop   1   358 - 365   2008年11月

  • [解説]個人的選好獲得システムの構築:興味区間抽出・興味度推定・プロファイル作成 招待

    新田直子, 馬場口登

    画像ラボ   vol.19 ( no.11 )   58 - 64   2008年11月

  • Mining Temporal Information and Web-Casting Text for Automatic Sports Event Detection 査読

    M. S. Dao, N. Babaguchi

    Proc. of IEEE International Workshop on Multimedia Signal Processing (MMSP2008)   616 - 621   2008年10月

  • 多重暗号化と確率的動作選択に基づく双方向通信可能な匿名通信方式:3-Mode Net 査読

    三宅直貴, 伊藤義道, 馬場口登

    電子情報通信学会論文誌A   J91-A ( 10 )   949 - 956   2008年10月

  • 部分映像挿入による時間軸上の映像補完 査読

    庄司竜太, 新田直子, 馬場口登

    映像情報メディア学会誌   62 ( 10 )   1633 - 1640   2008年10月

  • [招待講演]映像サーベイランスとプライバシー 招待

    馬場口登

    2008年9月

     詳細を見る

    第32回STARCアドバンスト講座

  • [解説]テレビ視聴者の好みを推定しよう

    馬場口登, 新田直子

    放送文化基金報   ( no.71 )   28 - 29   2008年9月

  • Sensing Web Project - How to handle privacy information in sensor data - 査読

    M. Minoh, K. Kakusho, N. Babaguchi

    Proc. of 12th Intl. Conf. Information Processing and Management of Uncertainty in Knowledge-based Systems(IPMU08)   863 - 869   2008年6月

  • [解説]ネットワークロボットのセンシングとプライバシー保護技術

    馬場口登, 西尾修一

    電子情報通信学会誌   91 ( 5 )   380 - 386   2008年5月

  • _Privacy Protected Video Surveillance System Using Adaptive visual Abstraction 査読

    K. Chinomi, N. Nitta, Y. Ito, N. Babaguchi

    Proc. of Multimedia Modeling Conference (MMM2008)   144 - 154   2008年1月

  • Isotropy-Based Steganalysis in Multiple Least Significant Bits 査読

    X. Yu, N. Babaguchi, Y. Wang

    _Security and Watermarking of Multimedia Contents X   6819   681913 - 681922   2008年1月

  • A Fast and Effective Method to Detect Multiple Least Significant Bits Steganography 査読

    Xiaoyi Yu, Noboru Babaguchi

    APPLIED COMPUTING 2008, VOLS 1-3   1443 - 1447   2008年

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    In this paper, we propose a fast and effective LSB steganalysis for detecting the existence of hidden message and estimating hidden message length when the embedding is performed using both of two distinct embedding paradigms in one or more than one LSB. The method is based on the analysis of image statistics and quadratic equation. Compared with weighted stego-image based method, Ker's method and Luo et.al.'s method, the detection accuracy is high. Experimental results and theoretical verification show that the proposed method is an effective method of LSB steganalysis.

  • A DISCRETE WAVELET TRANSFORM BASED RECOVERABLE IMAGE PROCESSING FOR PRIVACY PROTECTION 査読

    Guangzhen Li, Yoshimichi Ito, Xiaoyi Yu, Naoko Nitta, Noboru Babaguchi

    2008 15TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-5   1372 - 1375   2008年

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    This paper presents a novel scheme of a recoverable image processing for privacy protection in real-time video surveillance system. The privacy information is embedded into the video using information hiding. Thus, the original privacy information can be recoverable with secrete key if necessary. In the proposed system, the privacy information is defined as information of objects that consist of detailed data to recover the original image of objects. The scheme is based on discrete wavelet transform (DWT) which is used for generating privacy-protected low resolution image, as well as the high resolution data including privacy information. An amplitude modulo modulation based information hiding scheme is used to hide the privacy information. Experimental results have shown that the proposed system can reduce the amount of the privacy information significantly, and allows the privacy information to be revealed after being embedded in real time.

  • AUTOMATIC PERSONAL PREFERENCE ACQUISITION FROM TV VIEWER'S BEHAVIORS 査読

    Makoto Yamamoto, Naoko Nitta, Noboru Babaguchi

    2008 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO, VOLS 1-4   1165 - 1168   2008年

     詳細を見る

    The demand for information services considering personal preferences is increasing. In this paper, we propose a system for automatically acquiring personal preferences from TV viewer's behaviors. Our system firstly extracts intervals of interest and estimates the interest degree for each extracted interval based on the temporal patterns in facial changes by Hidden Markov Models (HMMs). Then, the viewer profile is created by associating the interest degrees with the content information described in the metadata of the watched program. Experimental results have shown that the proposed methods are able to correctly estimate interest degrees for extracted intervals with a precision rate of 73.1% and a recall rate of 68.8%, and that the created viewer profiles are comparable to the actual preferences of each viewer.

  • An improved steganalysis method of LSB matching 査読

    Xiaoyi Yu, Noboru Babaguchi

    2008 FOURTH INTERNATIONAL CONFERENCE ON INTELLIGENT INFORMATION HIDING AND MULTIMEDIA SIGNAL PROCESSING, PROCEEDINGS   557 - 560   2008年

     詳細を見る

    In this paper, we propose an improved steganalysis algorithm to detect spatial domain least significant bit (LSB) matching steganography, which is much harder than the detection of LSB replacement. Firstly we propose run length based features, which are sensitive to LSB matching in spatial domain of images. At the same time, we extend Ker's features, the statistical moments, to higher orders, which are sensitive to LSB matching in transform domain. Then the improved method is constructed based on these features. Experimental results on two datasets demonstrate that this method has superior results compared with other recently proposed algorithms, and shows that the proposed method is efficient to detect the LSB matching steganography on compressed or uncompressed images.

  • RUN LENGTH BASED STEGANALYSIS FOR LSB MATCHING STEGANOGRAPHY 査読

    Xiaoyi Yu, Noboru Babaguchi

    2008 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO, VOLS 1-4   353 - 356   2008年

     詳細を見る

    In this paper, we propose a steganalysis algorithm to detect spatial domain least significant bit (LSB) matching steganography, which is much harder than the detection of LSB replacement. We use the fusion of histogram of run length and histogram characteristic function to detect the LSB Matching. Experimental results on two datasets demonstrate that this method has superior results compared with other recently proposed algorithms, and shows that the proposed method is efficient to detect the LSB matching steganography on compressed or uncompressed images.

  • Sports event detection using temporal patterns mining and web-casting text 査読

    Minh-Son Dao, Noburu Babaguchi

    MM'08 - Proceedings of the 2008 ACM International Conference on Multimedia, with co-located Symposium and Workshops   33 - 40   2008年

     詳細を見る

    Event detection is one of the essential tasks by which the performance of sports video content analysis and access becomes more efficient and effective. Among internal information which are extracted from inside raw videos, the temporal information is critical to convey event meaning. In this paper, the new method for adaptively detecting event based on Allen temporal algebra and external information support is presented. The temporal information is captured by presenting events as the temporal sequences using a lexicon of non-ambiguous temporal patterns. These sequences are then exploited to mine undiscovered sequences with external text information supports by using class associate rules mining technique. By modeling each pattern with "linguistic part" and "perceptual part" those work independently and connect together via "transformer", it is easy to deploy this method to any new domain (e.g baseball, basketball, tennis, etc.) with a few changes in "perceptual part" and "transformer". Thus the proposed method not only can work well in unwell structured environments but also can be able to adapt itself to new domains without the need (or with a few modification) for external re-programming, re-configuring and re-adjusting. Experimental results that are carried on more than 30 hours of soccer video corpus captured at different broadcasters and conditions as well as compared with well-known related methods, demonstrated the efficiency, effectiveness, and robustness of the proposed method in both offline and online processes. Copyright 2008 ACM.

  • WEIGHTED STEGO-IMAGE BASED STEGANALYSIS IN MULTIPLE LEAST SIGNIFICANT BITS 査読

    Xiaoyi Yu, Noboru Babaguchi

    2008 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO, VOLS 1-4   265 - 268   2008年

     詳細を見る

    The paper proposes a method for LSB steganalysis of images, where the secret message is embedded in a given number L of the least significant bits. The proposed estimation method is based on weighted stego-Image and no assumption of cover images is required. The method can detect the presence of stego message using LSB steganography from the case L = 1 to arbitrary L>1. The estimation formula is clean and computation complexity is low. To evaluate the proposed steganalytic method, two experiments of detection and estimation are performed. It is shown that the accuracy of detecting the existence of secret messages in images and of estimating the embedding ratio of secret messages is relatively high.

  • [解説]個人的選好獲得システムの構築:テレビ視聴者の同定と興味区間の推定 招待

    新田直子, 馬場口登

    画像ラボ   vol.18 ( no.12 )   1 - 6   2007年12月

  • Automatic prosody labeling using multiple models for Japanese 査読

    Ryuki Tachibana, Tohru Nagano, Gakuto Kurata, Masafumi Nishimura, Noboru Babaguchi

    IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS   E90D ( 11 )   1805 - 1812   2007年11月

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    Automatic prosody labeling is the task of automatically annotating prosodic labels such as syllable stresses or break indices into speech corpora. Prosody-labeled corpora are important for speech synthesis and automatic speech understanding. However, the subtleness of physical features makes accurate labeling difficult. Since errors in the prosodic labels can lead to incorrect prosody estimation and unnatural synthetic sound, the accuracy of the labels is a key factor for text-to-speech (TTS) systems. In particular, mora accent labels relevant to pitch are very important for Japanese, since Japanese is a pitch-accent language and Japanese people have a particularly keen sense of pitch accents. However, the determination of the mora accents of Japanese is a more difficult task than English stress detection in a way. This is because the context of words changes the mora accents within the word, which is different from English stress where the stress is normally put at the lexical primary stress of a word. In this paper, we propose a method that can accurately determine the prosodic labels of Japanese using both acoustic and linguistic models. A speaker-independent linguistic model provides mora-level knowledge about the possible correct accentuations in Japanese, and contributes to reduction of the required size of the speaker-dependent speech corpus for training the other stochastic models. Our experiments show the effectiveness of the combination of models.

  • Personalization of Video Contents 査読

    Noboru Babaguchi

    Conversational Informatics: An Engineering Approach   233 - 248   2007年10月

  • Preliminary Experiments toward Automatic Generation of New TTS Voices From Recorded Speech Alone 査読

    R. Tachibana, T. Nagano, G. Kurata, M. Nishimura, N. Babaguchi

    Proc. Interspeech   1917 - 1920   2007年8月

  • 個人的選好獲得のための特定人物のテレビ視聴時における興味区間推定 査読

    山本誠, 谷本浩昭, 新田直子, 馬場口登

    電子情報通信学会論文誌   J90-D ( 8 )   2202 - 2211   2007年8月

  • [招待講演]安心な映像サーベイランスのためのプライバシー保護処理 招待

    馬場口登

    情報処理学会コンピュータビジョンとイメージメディア研究会技術研究報告   2007-CVIM-157   85 - 92   2007年1月

     詳細を見る

    情報処理学会コンピュータビジョンとイメージメディア研究会

  • [解説]プライバシーを考慮した映像サーベイランス

    馬場口登

    情報処理, 特集 安全と安心のための画像処理技術   48 ( 1 )   30 - 36   2007年1月

  • Audio-based estimation of speakers directions for multimedia meeting logs 査読

    Yuki Yokoe, Yoshimichi Ito, Noboru Babaguchi

    2007 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO, VOLS 1-5   212 - 215   2007年

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    This paper is concerned with an audio-based method for estimating speaker directions in meeting environment. It is well-known that cross-power spectrum phase (CSP) analysis is a very powerful tool for localizing sound sources. However, when we adopt the CSP-based method together with a circular microphone array system to estimate the speaker directions in 360-degree range (e.g. round-table discussions), the method fails to estimate the directions due to the existence of imaginary peaks of CSP coefficients. In order to circumvent the above problem, we propose a method to suppress the imaginary peaks, which uses a circular-array version of the method proposed by Nishiura and appropriate scaling around the imaginary peaks. Experimental results are also shown to demonstrate the effectiveness of the proposed method.

  • Determining recording location based on synchronization positions of audio watermarking

    Yuta Nakashima, Ryuki Tachibana, Masafumi Nishimura, Noboru Babaguchi

    ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings   2 ( 2 )   II253 - II256   2007年

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    In this paper, we propose a novel application of digital water-marking, determination of recording locations. This application enables us to determine the seat location in an auditorium, where a recording was made. Precisely measured synchronization positions of the spread-spectrum, watermarks are used for the determination. To avoid use of mismeasured synchronization positions, the algorithm, discards synchronization positions with the corresponding normalized correlation values below a threshold. The experiments with our implementation resulted in accurate determinations
    almost all. of the locations can be determined within the error of 0.5 m. These experimental results successfully show the potential applicability of our application. © 2007 IEEE.

  • Maximum-likelihood estimation of recording position based on audio watermarking 査読

    Yuta Nakashima, Ryuki Tachibana, Noboru Babaguchi

    Proceedings - 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIHMSP 2007.   2 ( 2 )   255 - 258   2007年

     詳細を見る

    In this paper, we propose a maximum-likelihood method for estimating a recording position inside several loudspeakers as a brand-new application of digital audio watermarking, which could be useful for protecting from illegal recordings of movies. An error model of times of arrival (TOAs) is utilized to estimate the recording position. The error model is constructed based on watermarking strengths, which are calculated by a watermark detection algorithm. This enables us to estimate the position if some of the TOAs are accurately measured. Experimental results indicate that the algorithm can estimate the recording position with the mean value of errors of 0.81 m.

  • Privacy preserving: Hiding a face in a face 査読

    Xiaoyi Yu, Noboru Babaguchi

    COMPUTER VISION - ACCV 2007, PT II, PROCEEDINGS   4844   651 - 661   2007年

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    This paper proposes a detailed framework of privacy preserving techniques in real-time video surveillance systems. In the proposed system, the protected video data can be released in such a way that the identity of any individual contained in video cannot be recognized while the surveillance data remains practically useful, and if the original privacy information is demanded, it can be recoverable with a secrete key. The proposed system attempts to hide a face (real face, privacy information) in a face (new generated face for anonymity). To deal with the huge payload problem of privacy information hiding, an Active Appearance Model (AAM) based privacy information extraction and recovering is proposed in our system. A quantized index modulation based data hiding scheme is used to hide the privacy information. Experimental results have shown that the proposed system can embed the privacy information into video without affecting its visual quality and keep its practical usefulness, at the same time, allows the privacy information to be revealed in a secure and reliable way.

  • User and device adaptation for sports video content 査読

    Yoshimasa Takahashi, Naoko Nitta, Noboru Babaguchi

    2007 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO, VOLS 1-5   1051 - 1054   2007年

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    Several methods for summarizing sports videos by selecting only important scenes based upon their semantic content have been proposed so far. However, there remain two problems: 1)what is important depends on each user's preferences, and 2)the summaries should be tailored for media devices that each user has. To solve these problems, we discuss user and device adaptation for sports video summarization. The proposed framework dynamically adapts the video content to fit user's preferences using user profiles which describe the preference degrees for keywords. The video content is then presented through proper media such as image or text according to the confinement of media devices. For sports videos, the framework is tested using PCs and mobile phones as the media devices.

  • Steganography using sensor noise and linear prediction synthesis filter 査読

    Xiaoyi Yu, Xinshan Zhu, Noboru Babaguchi

    Proceedings - International Conference on Image Processing, ICIP   2   II157 - II160   2007年

     詳細を見る

    This paper presents a new approach utilizing the sensor's pattern noise and linear prediction synthesis filter for steganography. The pattern noise is extracted from the images using denoising filter (for example wavelet-based filter). Then the approach introduces the linear prediction synthesis filter, whose parameters are derived from the extracted noise. After being filtered by such a filter, the secret message can be embedded by adapting the characteristics of the sensor's pattern noise. As a result, the embedding process violate little of the natural image statistics, and hence the detectability of steganalytic method is noticeably decreased. The experimental results prove the effectiveness of the new approach. © 2007 IEEE.

  • テロップ消去のための時空間特徴を用いた映像修復

    庄司竜太, 新田直子, 馬場口登

    映像メディア学会誌   61 ( 1 )   91 - 97   2007年

  • Analysis of Audio-Visual Synchronous Patterns in Edited Videos - Towards an Aid for Attractive Video Editing - 査読

    N. Nitta, N. Babaguchi

    Proc. the 1st Korea-Japan Joint Workshop on Pattern Recognition(KJPR)   2006年11月

  • Estimating Intervals of Interest During TV Viewing for Automatic Personal Preference Acquisition 査読

    M. Yamamoto, N. Nitta, N. Babaguchi

    Proc. of the 7th IEEE Pacific-Rim Conference on Multimedia(PCM2006)   615 - 623   2006年11月

     詳細を見る

    Win Best Paper Award

  • [招待講演]映像サーベイランスとプライバシー保護処理 招待

    馬場口登

    2006年11月

     詳細を見る

    奈良女子大学・大学院教育イニシアチブ・院生企画セミナー

  • Estimation of recording location using audio watermarking 査読

    Y. Nakashima, R. Tachibana, M. Nishimura, N. Babaguchi

    Proc. of ACM Multimedia and Security Workshop 2006   108 - 113   2006年9月

  • On Sensitivity Reduction Problems of Sampled-Data Systems - Performance Limitations and the Properties of Aliasing Factors - 査読

    Y. Ito, H. Shirahama, N. Babaguchi

    Proc. of International Symposium on the Mathematical Theory of Networks and Systems (MTNS2006)   1788 - 1792   2006年7月

  • Personal identification in unconscious sensing by video and GPS positioning 査読

    S. Nishio, N. Babaguchi, T. Akimoto, N. Hagita

    Proc. of 2nd Korea-Japan Joint Symposium on Network Robot Systems   19 - 24   2006年6月

  • [パネルディスカッション]再び右肩上がりの成長に向けた西からの提言 招待

    井口征士, 大西良一, 野村淳二, 馬場口登, 堀江多賀雄, 山本裕之

    FM06-1-4   16 - 19   2006年5月

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    パネルディスカッション「法人化後の大学はどこに向かうのか?」,電子情報通信学会フェロー&マスターズ未来技術研究会

  • [招待講演]視覚サーベイランスに関する最近の話題 招待

    馬場口登

    2006年4月

     詳細を見る

    (社)情報処理学会関西支部ビュアルインフォメーション研究会

  • [パネル討論]アンコンシャスロボットによるビジュアルサーベイランス技術 招待

    馬場口登

    2006年3月

     詳細を見る

    電子情報通信学会総合大会,情報・システムソサイエティ,パネル討論「ネットワークロボットの将来展望」,国士舘大学

  • [解説]会話環境メディア

    美濃導彦, 馬場口登, 谷口倫一郎, 角所考

    人工知能学会誌   21 ( 2 )   156 - 161   2006年3月

  • Video Scene Retrieval with Symbol Sequence Based on Integrated Audio and Visual Features 査読

    K.Morisawa, N.Nitta, N.Babaguchi

    Proc. of SPIE-IS&T Electronic Imaging   6073   607307-1 - 607307-10   2006年1月

  • Factors on the sense of privacy in video surveillance 査読

    Takashi Koshimizu, Tomoji Toriyama, Noboru Babaguchi

    Proceedings of the ACM International Multimedia Conference and Exhibition   35 - 44   2006年

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    With the increasing demand for greater security, video surveillance technologies have recently received a lot of attention. As video surveillance cameras become ubiquitous, there are growing concerns over the cost of monitoring these systems and the possible invasion of privacy. In this paper, we discuss a system architecture of privacy-preserving video surveillance for a community that achieves a good balance between security and privacy. We call the designed system 'PriSurv'. A subset of PriSurv is implemented, and privacy protected image processing modules are installed. The privacy preserving image processing is called visual abstraction. We conducted an experiment using five abstracted images and a questionnaire to evaluate PriSurv. Analyzing the results of the experiment using factor analysis, we obtained seven factors. With a hierarchical cluster analysis, we divided the subjects into three clusters. A significant difference in the choice of images among the clusters was found using the Pearson -squared test. From this analysis, we show that the relationships between subjects and monitors affect the subjects' sense of privacy
    furthermore, the subjects' sense of privacy depends on the individual person. The results of analysis supports PriSurv's design principle, which can adapt the personal sense of privacy. Copyright 2006 ACM.

  • TV viewing interval estimation for personal preference acquisition 査読

    Hiroaki Tanimoto, Naoko Nitta, Noboru Babaguchi

    2006 IEEE International Conference on Multimedia and Expo, ICME 2006 - Proceedings   2006   889 - 892   2006年

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    The importance of personalized information services has been increasing. Description of personal preferences needs to be prepared beforehand to realize such services. We propose a system for automatically acquiring personal preferences from TV viewer's behaviors. Considering "when" a viewer is watching TV is highly related to the viewer's preferences, we focus on estimating the time interval during which a pre-registered viewer is watching TV. In this paper, we firstly describe the outline of the personal preference acquisition system, and address a method for estimating the TV viewing intervals based on the appearance of frontal faces. Experiments resulted in a precision rate of 97.1% and a recall rate of 70.6% on average for TV viewing interval estimation. © 2006 IEEE.

  • [招待講演]アンコンシャス型ロボットの技術的課題 招待

    馬場口登

    2005年11月

     詳細を見る

    ネットワークロボットシンポジウム,京阪奈プラザ

  • 適合性フィードバックを用いた映像パケットのインタラクティブクラスタリング 査読

    木下幸裕, 新田直子, 馬場口登

    電子情報通信学会論文誌(D-II)   J86-D-II ( 8 )   1702 - 1711   2005年8月

  • MediaTray: The Cafeteria-style Viewing Environment for Digital Contents and Its Evaluation

    K.Tanaka, T.Sasaki, Y.Tonomura, T.Nakanishi, N.Babaguchi

    Proceedings of 11th International Conference on Human-Computer Interaction (HCII2005)   2005年7月

  • [招待講演]映像メディアのセマンティック処理 招待

    馬場口登

    2005年7月

     詳細を見る

    NHK放送技術研究所

  • Media Tray:ユーザが構成可能なカフェテリア型コンテンツ視聴環境 査読

    田中清, 佐々木努, 外村佳伸, 仲西正, 馬場口登

    電子情報通信学会論文誌(D-II)   J86-D-II ( 6 )   1056 - 1066   2005年6月

  • Meeting Recording System via Multimodal Sensing

    S. Tokunaga, Y. Ito, N. Nitta, N. Babaguchi

    Proc. of Japanese Society for Artificial Inteligence 2005, Workshop on Conversational Informatics   19 - 24   2005年6月

  • [Panel Discussion] Mobile Multimedia Services 査読

    Behzad Shahraray, Wei-Ying Ma, Avideh Zakhor, Noboru Babaguchi

    Proc. of WWW2005 Special Interest Tracks and Posters   795   2005年5月

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    14th International World Wide Web Conference (WWW2005), Proc. WWW2005 Special Interest Tracks and Posters

  • [招待講演]長時間映像メディアのセマンティック処理 招待

    馬場口登

    2005年3月

     詳細を見る

    電子情報通信学会総合大会情報システムソサエティチュートリアル講演,「DT-3. 長時間メディア処理のためのパターン認識・メディア理解の基盤技術」,DT-3-4,SS-8-9

  • [解説][招待講演]映像メディアのセマンティック処理について

    馬場口登

    VIRI Activity Report 2004   3   61 - 67   2005年3月

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    大阪電気通信大学・視覚情報基礎研究施設定例研究会、視覚情報基礎研究施設

  • Generating semantic descriptions of broadcasted sports videos based on structures of sports games and TV programs 査読

    N Nitta, N Babaguchi, T Kitahashi

    MULTIMEDIA TOOLS AND APPLICATIONS   25 ( 1 )   59 - 83   2005年1月

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    This paper presents a model to represent a broadcasted sports video in a semantic way and proposes a method of automatically generating semantic descriptions of significant scenes. Representation of a video should clarify the semantic content of the video as accurately as possible. Our model structurizes the video and specifies suitable semantic descriptions for video segments paying attention to the structure of both a sports game and a sports TV program. As the elements of these semantic descriptions, the proposed method tries to obtain the information about the plays and their related players from the closed-caption stream by searching key phrases. Finding the corresponding segments of the video by means of template matching for the image stream attaches these textual descriptions to the proper portion of the video. In this paper, we discuss some experimental results of our method and the potentiality for integrating these results into the standardized MPEG-7 description tools.

  • [解説]映像要約とメタデータ・ハイディング

    馬場口登

    生産と技術   57 ( 1 )   52 - 55   2005年1月

  • Automatic parsing of American football videos by intermodal collaboration based on transition rules 査読

    Naoko Nitta, Noboru Babaguchi

    IEEE International Conference on Multimedia and Expo, ICME 2005   2005   1114 - 1117   2005年

     詳細を見る

    This paper proposes an automatic American football video parsing method based on transition rules of an American football game. Combining the results of live scene extraction and superimposed text detection based on image features enables us to segment the video into play units of a game. Temporally associating the segmented play units with the detected superimposed texts and the closed-caption text attaches possible semantic content information to the play units. Finallly, selecting only the play units which comform to transition rules of the sports game from the obtained play unit sequence, while discarding or complementing unnecessary or insufficient play units and attached semantic content information, realizes the semantic video parsing. © 2005 IEEE.

  • Interactive clustering of video segments formedia structuring 査読

    Y. Kinoshita, N. Nitta, N. Babaguchi

    IEEE International Conference on Multimedia and Expo, ICME 2005   2005   630 - 633   2005年

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    Structuring video data is necessary for its effective retrieval and summarization. In particular, collecting similar scenes from semantic aspects highly contributes to the structuring. In this paper, we propose a method of clustering the scenes with relevance feedback, which may be able to bridge the gap between the video data and its semantics. First, spatio-temporal video segments of a fixed length are clustered according to image features of each segment. Then, a user performs feedback to the results of clustering, whether each segment is relevant to the cluster it belongs to. The clustering accuracy can be improved through the interaction based on the feedback information. For diverse kinds of video streams, we investigated how the feedback should be given and demonstrated the effectiveness of the interactive clustering. © 2005 IEEE.

  • Playwatch: Chart-style video playback interface

    Kiyoshi Tanaka, Tsutomu Sasaki, Yoshinobu Tonomura, Tadashi Nakanishi, Noboru Babaguchi

    IEEE International Conference on Multimedia and Expo, ICME 2005   2005   731 - 734   2005年

     詳細を見る

    This paper proposes the chart-style video playback interface Play Watch
    it displays a chart of semantic indices for locating video scenes. The main features of Play Watch are: 1) the user understands the distribution of the scenes because PlayWatch shows the indices in order. 2) The user can access a desired scene directly through the indices since they also act as link buttons. This paper also describes the evaluation of PlayWatch. Experiments on scene searching show that PlayWatch is effective in accessing precisely indexed scenes. ©2005 IEEE.

  • Video summarization for large sports video archives 査読

    Yoshimasa Takahashi, Naoko Nitta, Noboru Babaguchi

    IEEE International Conference on Multimedia and Expo, ICME 2005   2005   1170 - 1173   2005年

     詳細を見る

    Video summarization is defined as creating a shorter video clip or a video poster which includes only the important scenes in the original video streams. In this paper, we propose two methods of generating a summary of arbitrary length for large sports video archives. One is to create a concise video clip by temporally compressing the amount of the video data. The other is to provide a video poster by spatially presenting the image keyframes which together represent the whole video content. Our methods deal with the metadata which has semantic descriptions of video content. Summaries are created according to the significance of each video segment which is normalized in order to handle large sports video archives. We experimentally verified the effectiveness of our methods by comparing the results with man-made video summaries. © 2005 IEEE.

  • Automatic Video Summarization of Sports Videos Using Metadata 査読

    Y.Takahashi, N.Nitta, N.Babaguchi

    Proc. of Fifth IEEE Pacific-Rim Conference on Multimedia (PCM2004)   272 - 280   2004年12月

  • Clustering of Video Packets Using Interactive Refinement by Relevance Feedback

    Y.Kinoshita, N.Nitta, N. Babaguchi

    Proc. of Fifth IEEE Pacific-Rim Conference on Multimedia (PCM2004)   626 - 633   2004年12月

  • Video Scene Retrieval with Sign Sequence Matching Based on Audio Features 査読

    K. Morisawa, N. Nitta, N. Babaguchi

    Proc. of Fifth IEEE Pacific-Rim Conference on Multimedia (PCM2004)   121 - 129   2004年12月

  • Embedding MPEG-7 Description in MPEG Video Data by Focusing on DCT-coefficients and Motion Vectors 査読

    S. Taniguchi, N.Nitta, N.Babaguchi

    Proc. of Pacific Rim Workshop on Digital Steganography 2004 (STEG'04)   80 - 88   2004年11月

  • Constructive Inductive Learning based on Meta-Attributes 査読

    K. Ohara, Y. Onishi, N. Babaguchi, H. Motoda

    Proc. of the 7th International Conference on Discovery Science   2004年10月

  • Properties of Aliasing Factors in Sensitivity Reduction Problems of Sampled-Data Systems 査読

    Yoshimichi Ito, Hiroshi Shirahama, Noboru Babaguchi

    Proc. of IFAC Workshop on Periodic Control Systems   141 - 144   2004年9月

  • [招待講演]インターモーダル協調の薦め−マルチモダリティに着目したメディアのセマンティック解析− 招待

    馬場口登

    2004年9月

     詳細を見る

    平成16年度電気関係学会東海支部連合大会併設シンポジウム,知的メディア統合-基礎と応用-,名古屋工業大学

  • Personalized abstraction of broadcasted American football video by highlight selection 査読

    N Babaguchi, Y Kawai, T Ogura, T Kitahashi

    IEEE TRANSACTIONS ON MULTIMEDIA   6 ( 4 )   575 - 586   2004年8月

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    Video abstraction is defined as creating shorter video clips or video posters from an original video stream. In this paper, we propose a method of generating a personalized abstract of broadcasted American football video. We first detect significant events in the video stream by matching textual overlays appearing in an image frame with the descriptions of gamestats in which highlights of the game are described. Then, we select highlight shots which should be included in the video abstract from those detected events reflecting on their significance degree and personal preferences, and generate a video clip by connecting the shots augmented with related audio and text. An hour-length video can be compressed into a minute-length personalized abstract. We experimentally verified the effectiveness of this method by comparing man-made video abstracts.

  • LMI-based stability condition for 2-D discrete systems described by the Fornasini-Marchesini second model 査読

    Y Ito, W Date, N Babaguchi

    2004 47TH MIDWEST SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOL II, CONFERENCE PROCEEDINGS   557 - 560   2004年

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    This paper presents a stability criterion for 2-D discrete systems described by the Fornasini-Marchesini second model. The method presented in this paper is based on linear matrix inequalities (LMI), and hence, it is computationally tractable. In deriving the method, finite-order Fourier series approximation of the solution for frequency-dependent LMI (FDLMI), and the properties of quadratic form representation of finite-order Fourier series play key roles. From the view point of the proposed method, the existing LMI-based condition can be regarded as the one which is obtained by Fourier series approximation of order zero, and thus, it is expected that the proposed method leads to less conservative results. This is illustrated by a numerical example.

  • Motion estimation and detection of complex object by analyzing resampled movements of parts 査読

    P Piamsa-nga, N Babaguchi

    ICIP: 2004 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1- 5   365 - 368   2004年

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    A moving object that has many complex moving parts is very hard to detect and its motion is not easy to estimate. In this paper, we present a new technique for motion estimation and detection of moving complex objects by analyzing the resampled motions of the parts of objects. The Kalman filter is used to track all resampled movements and the tracked routes are classified into groups that share the same fundamental movements. Our simulation show that recall of motion estimation and detection is approximately 0.8, while the computation drops exponentially.

  • Scene retrieval with sign sequence matching based on video and audio features 査読

    N Babaguchi, T Ishida, K Morisawa

    2004 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXP (ICME), VOLS 1-3   2   1107 - 1110   2004年

     詳細を見る

    This paper presents a method of retrieving similar scenes from video streams with sign sequence matching. The visual and auditory streams are partitioned into fixed-length video/audio packets. Based on feature vectors extracted from these packets, sign sequences are formed. The sign sequence can be viewed as abstraction of video and audio features. DP Matching between the target and query sign sequences allows us to find scenes similar to the query in the video stream. For the purpose of efficient processing, packets, histogram based features, and sign sequences, which are the key ideas in this method, are introduced. The preliminary experimental results show that this method is promising for quick retrieval for similar scenes.

  • Fault-Tolerant Control Using Time-Sharing Multirate Controllers 査読

    H. Kawahara, Y. Ito, N. Babaguchi

    Proc. of the 1st International Symposium on Systems & Human Science - For Safety, Security, and Dependability   178 - 183   2003年11月

  • Intermodal Collaboration: A Strategy for Semantic Content Analysis for Broadcasted Sports Video 査読

    N. Babaguchi, N. Nitta

    Proc. of 2003 IEEE International Conference on Image Processing (ICIP2003)   2003年9月

  • 放送型スポーツ映像の意味内容獲得のためのストーリー分割法

    新田直子, 馬場口登

    電子情報通信学会論文誌(D-II), Vol.J86-D-II, No.8, pp.1222-1233   86 ( 8 )   1222 - 1233   2003年8月

  • [パネル討論」映像処理はもう古い?そんなことはありません!?---映像処理研究の学術的意義と将来展望 招待

    相澤清晴, 美濃導彦, 馬場口登, 佐藤真一, 中村裕一

    2003年7月

     詳細を見る

    -映像処理研究の学術的意義と将来展望」パターン認識メディア理解研究会,高知工科大学

  • [解説]スポーツ映像におけるハイライトシーン検出 −インターモーダル協調による映像インデクシング−

    馬場口登

    画像ラボ   14 ( 7 )   25 - 29   2003年7月

  • [招待講演]映像メディアの要約について 招待

    馬場口登

    2003年7月

     詳細を見る

    奈良先端科学技術大学院大学ゼミナール講演

  • 固定長の時空間画像に基づく映像シーンのクラスタリング 査読

    岡本啓嗣, 八杉将伸, 馬場口登

    電子情報通信学会論文誌(D-II)   86 ( 6 )   877 - 885   2003年6月

  • [特別講演]映像メディアの自動要約について 招待

    馬場口登

    2003年5月

     詳細を見る

    平成15年度電子情報通信学会・映像情報メディア学会北陸支部総会 特別講演,福井大学

  • [解説]マルチメディア情報の高次処理

    馬場口登, 上原邦昭, 有木康雄

    人工知能学会誌   18 ( 3 )   307 - 316   2003年5月

  • [招待講演]映像要約とインデキシング 招待

    馬場口登

    2003年1月

     詳細を見る

    イメージ情報科学研究所デジタルイメージング技術実利用化研究会,大阪科学技術センター

  • Effect of personalization on retrieval and summarization of sports video

    Noboru Babaguchi, Kouzou Ohara, Takehiro Ogura

    ICICS-PCM 2003 - Proceedings of the 2003 Joint Conference of the 4th International Conference on Information, Communications and Signal Processing and 4th Pacific-Rim Conference on Multimedia   2 ( 2 )   940 - 944   2003年

     詳細を見る

    Personalization is one of the most important mechanisms to make multimedia systems easy to use. In video applications, its embodiment is to tailor video contents for a particular viewer. For this purpose, we are now developing a system of retrieving and browsing video segments, called video portal with personalization (VIPP). VTPP is characterized by 1) supporting the viewer's access to video contents and making a summarized video clip by taking his/her preference into account, and 2) acquiring the viewer's profile from his/her operations automatically. In this paper, we discuss the effect of personalization on retrieval and summarization of sports videos on VIPP.

  • On personalizing video portal system with metadata 査読

    K Ohara, T Ogura, N Babaguchi

    KNOWLEDGE-BASED INTELLIGNET INFORMATION AND ENGINEERING SYSTEMS, PT 2, PROCEEDINGS   2774   1062 - 1069   2003年

     詳細を見る

    Recently, the necessity for a system which supports an access to videos has been increasing. In addition, it is strongly desired to take a user's preference into account to realize a more flexible system. For this background, we propose a system which can automatically acquire the user's preference by monitoring the actions by the user, as well as which can provide the functions such as efficient retrieval and browsing of video segments, by taking advantage of their metadata. Furthermore we experimentally show its usefulness.

  • [解説]放送型映像のインデクシングと要約 招待

    馬場口登

    システム/制御/情報   46 ( 12 )   732 - 737   2002年12月

  • [解説]映像メディアの検索と要約 招待

    馬場口登

    マテリアルインテグレーション   15 ( 8 )   72 - 76   2002年8月

  • [招待講演]スポーツTV映像の自動要約と検索 招待

    馬場口登

    73 - 76   2001年7月

     詳細を見る

    日本スポーツ産業学会第10回学会大会,21世紀のスポーツIT

  • [招待講演]放送型映像メディアの構造化と要約について 招待

    馬場口登

    2001年7月

     詳細を見る

    関西大学工業技術研究所情報科学研究会

  • [解説]MIRU2000若手プログラムについて-若手CVPR研究者による若手研究者のためのイベント- 招待

    馬場口登, 清川清, 島田伸敬, 日浦慎作, 椋木雅之, 森健策

    画像ラボ   12 ( 4 )   35 - 39   2001年4月

  • [招待講演]情報検索研究の新たな展開(その2)~マルチメディア情報の構造化と検索への応用~ 招待

    馬場口登

    2000年12月

     詳細を見る

    富士通先端技術講座

  • [招待講演]インターモーダル協調による放送型スポーツ映像の構造化と要約生成 招待

    馬場口登

    人工知能学会研究会資料   SIG-CII-NOV-7   26 - 34   2000年11月

     詳細を見る

    情報統合研究会

  • Towards abstracting sports video by highlights 査読

    N Babaguchi

    2000 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO, PROCEEDINGS VOLS I-III   1519 - 1522   2000年

     詳細を見る

    Recently, video abstraction has become a demanding application in multimedia computing. It is defined as creating shorter video clips or video posters from the original video stream. In this paper, we present a basic approach towards abstracting sports video by highlights, dealing with American football games, Using event based indexing, we create an abstracted video clip automatically. To select the appropriate highlights of the game, an impact factor reflecting on the importance of the event is newly introduced. It was possible to make an about 5-minute clip from the 3-hour original video.

  • [特別講演]メディア理解による映像メディアの構造化 招待

    馬場口登

    電子情報通信学会技術研究報告   PRMU99-42/IE99-18/MVE99-38   39 - 46   1999年7月

  • Detecting events from continuous media by intermodal collaboration and knowledge use 査読

    N Babaguchi, S Sasamori, T Kitahashi, R Jain

    IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA COMPUTING AND SYSTEMS, PROCEEDINGS VOL 1   782 - 786   1999年

     詳細を見る

    In this paper, we propose an event network, which is a structured representation oriented for the contents of continuous media, as well as present two methods of detecting events as the first step to construct the network. We here deal with sports TV programs, considering American football as a case study. The first method is simple intermodal collaboration: linking between visual and linguistic (closed caption) streams. Using domain knowledge about state transitions of football games, the second method attempts to extract specific visual objects including the information about contents. The experimental results indicate that the both methods are effective for event detection.

  • Solving contradiction in knowledge-base without interaction 査読

    K Katsurada, M Koyama, K Ohara, N Babaguchi, T Kitahashi

    1998 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS, VOLS 1-5   1546 - 1551   1998年

     詳細を見る

    We propose a non-interactive method for solving the contradictions caused by exceptions to ordinary rules. It is realized by 1) detecting the ordinary rules which have the instances in their bodies, and 2) converting them into the default; rules. To reduce the default rules which need much time in reasoning, we convert the minimal sets of ordinary rules to solve contradictions. Since the proposed method is executed without interaction with human, it contributes to automatic rule-base maintenance.

  • [解説]文書画像の記号化と表現メディアの変換-グラフ領域への応用- 招待

    北橋忠宏, 馬場口登, 角所考

    画像ラボ   7 ( 9 )   21 - 24   1996年9月

  • Generation of sketch map image and its instructions to support the understanding of geographical information 査読

    Noboru Babaguchi, Seiichiro Dan, Tadahiro Kitahashi

    Proceedings - International Conference on Pattern Recognition   3   274 - 278   1996年

     詳細を見る

    In this paper, we propose a method of generating a sketch map drawing and its instructions in order to support the route understanding of a human. Both are given from a structured data, called the road network, which is a graph augmented by the attributes of roads and crossings. In generating a sketch map drawing, the pictorial information about the shape and the direction of roads is modified. The sketch map drawing can be generated at any simplification level by controlling a parameter called simpleness. The instructions corresponding to the sketch map are produced by assigning appropriate terms into sentence templates. We verified that favorable results are obtained by this method. © 1996 IEEE.

  • [解説]地図理解支援のための略地図生成について-地図デフォルメのシステム化- 招待

    馬場口登, 上田俊弘, 淡誠一郎, 北橋忠宏

    画像ラボ   6 ( 7 )   23 - 26   1995年7月

  • REPRESENTING, UTILIZING AND ACQUIRING KNOWLEDGE FOR DOCUMENT IMAGE UNDERSTANDING 査読

    K KISE, N BABAGUCHI

    IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS   E77D ( 7 )   770 - 777   1994年7月

     詳細を見る

    This paper discusses the role of knowledge in document image understanding from the viewpoints of representation, utilization and acquisition. For the representation of knowledge, we propose two models, a layout model and a content model, which represent knowledge about the layout structure and content of a document, respectively. For the utilization of knowledge, we implement layout analysis and content analysis which utilize a layout model and a content model, respectively. The strategy of hypothesis generation and verification is introduced in order to integrate these two kinds of analysis. For the acquisition of knowledge, we propose a method of incremental acquisition of a layout model from a stream of example documents. From the experimental results of document image understanding and knowledge acquisition using 50 samples of visiting cards, we verified the effectiveness of the proposed method.

  • GENERATION OF SKETCH MAP DRAWING FROM VECTORIZED IMAGE 査読

    N BABAGUCHI, K TANAKA, T KITAHASHI

    ICIP-94 - PROCEEDINGS, VOL III   207 - 211   1994年

  • 非単調推論 招待

    馬場口登

    日本ファジィ学会誌   4 ( 4 )   608 - 619   1992年8月

  • Curvedness of a line picture 査読

    Noboru Babaguchi, Tsunehiro Aibara

    Pattern Recognition   20 ( 3 )   273 - 280   1987年

     詳細を見る

    The shape analysis of a binary picture is of great importance for pictorial pattern recognition. In this paper, we propose a useful geometric feature parameter called curvedness. Curvedness represents which lines are dominant in a binary picture, straight or curved. Our algorithm for measuring curvedness is based on the relationship between the distance to a boundary point on each black point along each quantized direction and the mean width of a binary picture. We investigate the fundamental property of curvedness. The experimental results for Japanese Hiragana and Kanji characters show the validity of curvedness. © 1987.

▼全件表示

書籍等出版物

  • 人工知能の基礎 第2版

    馬場口登, 山田誠二( 担当: 共著)

    オーム社  2015年2月  ( ISBN:9784274216152

  • 新しい信号処理の教科書 ―信号処理の基本から深層学習・グラフ信号処理まで―

    馬場口登, 中村和晃( 担当: 共著)

    オーム社  2021年11月  ( ISBN:9784274227806

  • 電子情報通信学会100年史

    馬場口登, 越前功( 担当: 分担執筆 ,  範囲: 第2部Ⓓ第2章、2.2情報セキュリティ)

    電子情報通信学会  2017年9月 

  • Human Behavior Understanding in Networked Sensing- Theory and Applications of Networks of Sensors

    N. Nitta, R. Akai, N. Babaguchi, Editors, Spagnolo, Paolo, Mazzeo, Pier Luigi, Distante, Cosimo( 担当: 分担執筆 ,  範囲: Chapter 11 People Counting Across Non-overlapping Camera Views by Flow Estimation Among Foreground Regions)

    Springer Verlag  2014年11月  ( ISBN:9783319108070

  • Encyclopedia of Database Systems

    N. Babaguchi, N. Nitta( 担当: 分担執筆 ,  範囲: Video Scene and Event Detection)

    Springer Verlag  2009年9月  ( ISBN:9780387399409

  • Protecting Privacy in Video Surveillance

    N. Babaguchi, T. Koshimizu, I. Umata, T. Toriyama (Editor, Andrew Senior( 担当: 分担執筆 ,  範囲: Psychological Study for Designing Privacy Protected Video Surveillance System: PriSurv)

    Springer Verlag  2009年6月  ( ISBN:9781848823006

  • Encyclopedia of Multimedia (2nd Edition)

    N. Babaguchi, N. Nitta( 担当: 分担執筆 ,  範囲: Sports Video Analysis)

    Springer Verlag  2008年12月  ( ISBN:9780387784144

  • Conversational Informatics: An Engineering Approach

    N. Babaguchi( 担当: 分担執筆 ,  範囲: Chapter 13 Personalization of Video Content)

    John Wiley & Sons  2007年3月  ( ISBN:9780470026991

  • 新編 画像解析ハンドブック

    馬場口登, 高木幹雄, 下田陽久監( 担当: 分担執筆 ,  範囲: 機能編 第Ⅲ部 トピックス)

    東京大学出版会  2004年9月  ( ISBN:9784130611190

  • 教育システムハンドブック

    馬場口登, 教育システム情報学会編( 担当: 分担執筆 ,  範囲: 第2章2節 知識表現)

    実教出版  2001年10月  ( ISBN:9784407051186

  • 情報メディア工学 (新世代工学シリーズ)

    馬場口登, 美濃導彦, 西田正吾共( 担当: 分担執筆 ,  範囲: 9章図面・地図をコンピュータで処理する)

    オーム社  1999年6月  ( ISBN:9784274131844

  • 人工知能の基礎(情報系教科書シリーズ第15巻)

    馬場口登, 山田誠二( 担当: 共著)

    昭晃堂  1999年3月  ( ISBN:9784785620486

  • 日本ファジィ学会編:ソフトコンピューティング用語集(坂和正敏他編)

    馬場口登( 担当: 分担執筆 ,  範囲: 「非単調推論」「デフォルト推論」「帰納」)

    朝倉書店  1996年5月  ( ISBN:9784254210002

  • 知識科学の展開

    馬場口登( 担当: 分担執筆 ,  範囲: 4.3節 完全/不完全知識を含むデータベースにおける知識獲得)

    オーム社  1996年2月  ( ISBN:9784274078378

  • 人工知能入門講座第1分冊 AIのコンセプト(人工知能概説)

    馬場口登( 担当: 分担執筆)

    工学研究社  1989年4月 

     詳細を見る

    ISBN:4-87646-327-1

  • 人工知能入門講座第4分冊 AIのテクニカルベース(人工知能の基礎)

    馬場口登( 担当: 分担執筆)

    工学研究社  1989年4月  ( ISBN:4876463271

  • 知識情報処理ハンドブック

    馬場口登( 担当: 分担執筆)

    オーム社  1988年8月  ( ISBN:9784274074332

▼全件表示

講演・口頭発表等

  • [招待講演]メディアクローン攻撃 招待

    馬場口登

    大阪大学工学研究科テクノアリーナ いきもの - AI共創工学、大阪大学吹田キャンパス  2019年12月 

  • [招待講演]メディアクローンによるサイバー/フィジカル攻撃-情報トラストの新しい道- 招待

    馬場口登

    2018年12月 

     詳細を見る

    紫翠会第933回例会,関西電力本店

  • [招待講演]視覚的プライバシー情報の保護と利用-顔を写されて大丈夫?- 招待

    馬場口登

    2015年5月 

     詳細を見る

    中京大学コロキウム 於:中京大学

  • [招待講演]空間軸を限定したプライバシー情報保護活用基盤 招待

    馬場口登

    2014年9月 

     詳細を見る

    FIT2014イベント企画:時空間を制限したプライバシー情報保護活用のための社会基盤の構築に向けて 於:筑波大学

  • [招待講演]空間を限定したプライバシー情報保護・活用基盤 招待

    馬場口登

    2014年2月 

     詳細を見る

    International Workshop on Information Systems for Social Innovation,国立情報学研究所,一橋講堂

  • [招待講演]センシングにおけるプライバシー情報の保護と利用 招待

    馬場口登

    2013年12月 

     詳細を見る

    情報処理学会四国支部講演会,愛媛大学

  • [Invited Speech] Protection and Utilization of Privacy Information 招待

    N. Babaguchi

    2013年7月 

     詳細を見る

    First International Workshop on Information Hiding and its Criteria for evaluation (IWIHC2014), (in conjunction with ASIACCS 2014), Kyoto, Japan

  • [招待講演]プライバシー情報保護活用基盤「開示と利益が調和する知的空間」 招待

    馬場口登

    2013年7月 

     詳細を見る

    ビッグデータと“程よい”プライバシー・ワークショップ,学術総合センター,一橋記念講堂

  • [招待講演]映像メディアとプライバシー保護 招待

    馬場口登

    2012年4月 

     詳細を見る

    平成24年度電気四学会関西支部合同報告会・講演会,中央電気倶楽部

  • [Invited Speech] Visual Processing for Privacy-Sensitive Information 招待

    Noboru Babaguchi

    2010年10月 

     詳細を見る

    DISI Seminar Series, University of Trento, Italy

  • [招待講演]センサ情報に基づく実世界コンテンツ 招待

    馬場口登

    2010年3月 

     詳細を見る

    情報処理学会創立50周年記念(第72回)全国大会,イベント企画「センシングWebとプライバシマネジメント」,東京大学

  • [招待講演]映像サーベイランスとプライバシ保護 招待

    馬場口登

    2009年9月 

     詳細を見る

    第8回情報科学技術フォーラム(FIT2009),イベント企画「マルチメディア情報ハイディングの最新応用技術と今後の展望」,東北工業大学

  • [招待講演]センシングウェブにおける観測型実世界コンテンツ 招待

    馬場口登

    2009年6月 

     詳細を見る

    第23回人工知能学会全国大会,特別セッション「情報の巨大集積化と利活用基盤技術開発」,サンポートホール高松

  • [招待講演]超大規模ヘテロセンサネットワーキング技術の応用-センシングWebプロジェクト- 招待

    馬場口登

    2009年2月 

     詳細を見る

    極限コミュニケーションラボシンポジウム

  • [招待講演]映像サーベイランスとプライバシー保護

    馬場口登

    2009年1月 

     詳細を見る

    システム制御情報学会,システム制御情報講習会特別企画「あなたのプライバシーは護られていますか?-監視社会におけるプライバシー保護のあり方と最近の工学的取り組み-」

  • [招待講演]映像サーベイランスとプライバシー 招待

    馬場口登

    2008年9月 

     詳細を見る

    第32回STARCアドバンスト講座

  • [招待講演]映像サーベイランスとプライバシー保護処理 招待

    馬場口登

    2006年11月 

     詳細を見る

    奈良女子大学・大学院教育イニシアチブ・院生企画セミナー

  • [パネルディスカッション]再び右肩上がりの成長に向けた西からの提言 招待

    井口征士, 大西良一, 野村淳二, 馬場口登, 堀江多賀雄, 山本裕之

    2006年5月 

     詳細を見る

    パネルディスカッション「法人化後の大学はどこに向かうのか?」,電子情報通信学会フェロー&マスターズ未来技術研究会

  • [招待講演]視覚サーベイランスに関する最近の話題 招待

    馬場口登

    2006年4月 

     詳細を見る

    (社)情報処理学会関西支部ビュアルインフォメーション研究会

  • [パネル討論]アンコンシャスロボットによるビジュアルサーベイランス技術 招待

    馬場口登

    2006年3月 

     詳細を見る

    電子情報通信学会総合大会,情報・システムソサイエティ,パネル討論「ネットワークロボットの将来展望」,国士舘大学

  • [招待講演]アンコンシャス型ロボットの技術的課題 招待

    馬場口登

    2005年11月 

     詳細を見る

    ネットワークロボットシンポジウム,京阪奈プラザ

  • [招待講演]映像メディアのセマンティック処理 招待

    馬場口登

    2005年7月 

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    NHK放送技術研究所

  • [招待講演]長時間映像メディアのセマンティック処理 招待

    馬場口登

    2005年3月 

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    電子情報通信学会総合大会情報システムソサエティチュートリアル講演,「DT-3. 長時間メディア処理のためのパターン認識・メディア理解の基盤技術」,DT-3-4,SS-8-9

  • [招待講演]インターモーダル協調の薦め−マルチモダリティに着目したメディアのセマンティック解析− 招待

    馬場口登

    2004年9月 

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    平成16年度電気関係学会東海支部連合大会併設シンポジウム,知的メディア統合-基礎と応用-,名古屋工業大学

  • [パネル討論」映像処理はもう古い?そんなことはありません!?---映像処理研究の学術的意義と将来展望 招待

    相澤清晴, 美濃導彦, 馬場口登, 佐藤真一, 中村裕一

    2003年7月 

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    -映像処理研究の学術的意義と将来展望」パターン認識メディア理解研究会,高知工科大学

  • [招待講演]映像メディアの要約について 招待

    馬場口登

    2003年7月 

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    奈良先端科学技術大学院大学ゼミナール講演

  • [特別講演]映像メディアの自動要約について 招待

    馬場口登

    2003年5月 

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    平成15年度電子情報通信学会・映像情報メディア学会北陸支部総会 特別講演,福井大学

  • [招待講演]映像要約とインデキシング 招待

    馬場口登

    2003年1月 

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    イメージ情報科学研究所デジタルイメージング技術実利用化研究会,大阪科学技術センター

  • [招待講演]スポーツTV映像の自動要約と検索 招待

    馬場口登

    2001年7月 

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    日本スポーツ産業学会第10回学会大会,21世紀のスポーツIT

  • [招待講演]放送型映像メディアの構造化と要約について 招待

    馬場口登

    2001年7月 

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    関西大学工業技術研究所情報科学研究会

  • [招待講演]情報検索研究の新たな展開(その2)~マルチメディア情報の構造化と検索への応用~ 招待

    馬場口登

    2000年12月 

     詳細を見る

    富士通先端技術講座

  • [招待講演]REALそれともFAKE 招待

    馬場口登

    EMM研究会  2021年3月 

     詳細を見る

    Volume 120, Number 418, EMM2020-74

  • [招待講演]大阪大学工学研究科の戦略とテクノアリーナ 招待

    馬場口登

    大阪大学大学院工学研究科 テクノアリーナ「インキュベーション部門:連携融合型」「デジタル造形工学」分野 第1回フォーラム、WEB公演形式  2020年10月 

▼全件表示

産業財産権

  • 計測システム、計測方法および計測プログラム

    田中宏徳, 安達馨, 三宅直子, 馬場口登, 中村和晃

  • 音取得位置特定方法、音取得位置特定システム、特定装置及びコンピュータプログラム

    馬場口登, 中島悠太

  • 映像編集支援装置

    馬場口登, 新田直子, 秋月達人

  • 画像通信システム、画像通信方法、画像送信装置、画像受信装置及びコンピュータプログラム

    馬場口登, 新田直子, 山本勇樹

  • ユーザ異常検出装置、及びユーザ異常検出方法

    西尾修一, 谷口英, 馬場口登, 鳥山朋二, 萩田紀博

  • プライバシー保護画像生成装置

    鳥山朋二, 小清水隆, 馬場口登, 西尾修一, 萩田紀博

  • 広域モニタシステム

    馬場口登, 横矢直和, 萩田紀博

▼全件表示

受賞

  • フェロー称号 マルチメディアの知的処理に関する研究及び教育

    2009年11月   電子情報通信学会  

    馬場口登

  • 第8回情報科学技術フォーラム(FIT2009)FIT論文賞

    2009年9月   情報処理学会   “事例映像に基づくシーンに対する適応的音楽選択”,第8回情報科学技術 フォーラム(FIT2009),RK-007,pp. 93-96

    金壯一

  • 2009 Fifth International Conference on Information Assurance and Security (IAS2009) Best Paper Award

    2009年8月   IEEE   "Performance Analysis of Anonymous Communication System 3-Mode Net", Proc. of 2009 Fifth International Conference on Information Assurance and Security (IAS2009), pp. 593-596

    K. Kono

  • Best Paper Award

    2006年11月   The 7th IEEE Pacific-Rim Conference on Multimedia(PCM2006)   "Estimating Intervals of Interest During TV Viewing for Automatic Personal Preference Acquisition"

    M.Yamamoto

  • EMM研究会優秀学生発表賞受賞

    2021年3月   電子情報通信学会マルチメディア情報ハイディング・エンリッチメント研究会   "敵対的生成ネットワークによる映像改ざん検出法の改良"

    大迫勇太郎

  • R2年度学術奨励賞受賞

    2021年3月   電子情報通信学会   画像生成ネットワークを用いたModel Inversion Attackの提案

    河津勘介

  • 研究奨励賞

    2020年3月   電子情報通信学会パターン認識・メディア理解研究会   “地理空間概念知識グラフを用いたグラフ畳み込みネットワークによる詳細画像認識”

    執行雄樹

  • 平成28年度特別研究員等審査会専門委員(書面担当)

    2017年7月   日本学術振興会  

    馬場口登

  • 学生プレゼンテーション賞

    2017年3月   日本データベース学会(第9回データ工学と情報マネジメントに関するフォーラム(DEIM Forum 2017))   “マイクロブログからのリアルタイム地域情報抽出”

    上村卓也

  • 学生プレゼンテーション賞

    2017年3月   日本データベース学会(第9回データ工学と情報マネジメントに関するフォーラム(DEIM Forum 2017))   “マイクロブログからの関連実世界観測情報の抽出”

    吉武真人

  • Best paper runner-up

    2017年1月   23rd International Conference on Multimedia Modeling (MMM2017)   "A Framework of Privacy-Preserving Image Recognition for Image-Based Information Services"

    K. Fujii

  • H28年度学術奨励賞受賞

    2016年3月   電子情報通信学会   “概念の抽象度を考慮した時空間及び視覚的特徴量に基づく画像認識”

    本庄紘士

  • 学生プレゼンテーション賞

    2015年3月   日本データベース学会(第7回データ工学と情報マネジメントに関するフォーラム(DEIM Forum 2017))   “時空間的出現特性の違いを考慮した位置を示す語の抽出によるツイートの発信位置推定”

    上村卓也

  • 学生研究賞

    2014年7月   電子情報通信学会マルチメディア情報ハイディング・エンリッチメント研究会   “適応型テンプレートによる行動的特徴を用いたモバイル端末認証”

    苅田成樹

  • 学生プレゼンテーション賞

    2014年3月   日本データベース学会(第6回データ工学と情報マネジメントに関するフォーラム(DEIM Forum 2014))   “単語間の関係の経時変化を考慮したマイクロブログからの実世界観測情報の抽出”

    角谷直人

  • 学術奨励賞受賞

    2014年3月   電子情報通信学会   “スマートフォンにおける加速度・ジャイロセンサを用いた手軽な動作による所有者認証”

    苅田成樹

  • 学生研究賞

    2013年9月   電子情報通信学会マルチメディア情報ハイディング・エンリッチメント研究会   “分散情報のサイズを考慮したQR コードにおける秘密分散法”

    倉元雅樹

  • 第2回大阪大学総長顕彰 研究部門

    2013年8月   大阪大学  

    馬場口登

  • Recognition of Service Award

    2012年11月   ACM  

    N. Babaguchi

  • 学術奨励賞

    2012年3月   電子情報通信学会   “イベントの画像特徴パターンを用いた画像に対するタグ付与”

    市原良平

  • FITヤングリサーチャー賞受賞

    2011年9月   情報処理学会   “観察者に応じたプライバシー保護映像を生成可能な映像配信手法”

    福岡直也

  • Best paper runner-up

    2011年8月   3rd International Conference on Internet Multimedia Computing and Service (ICIMCS2011)   "Three-Level Privacy Control for Sensing-Based Real-World Content Digital Diorama"

    T. takehara

  • Quality Reviewer

    2011年7月   Intl. Conf. on Multimedia and Expo (ICME2011)  

    N. Babaguchi

  • 学術奨励賞

    2010年3月   電子情報通信学会   “音響電子透かしを用いた屋内での録音位置推定”

    兼頭亮介

  • 第6回IEEE関西支部学生研究奨励賞

    2010年2月   IEEE   "Performance Analysis of Anonymous Communication System 3-Mode Net"

    K. Kono

  • 2010年度 IPSJ論文船井若手奨励賞受賞

    2009年12月   情報処理学会   “Matrix-Based Algorithm for Integrating Inheritance Relations of Access Rights for Policy Generation”

    K. Kono

  • FIT ヤングリサーチャー賞

    2009年9月   情報処理学会   “固定カメラに対する周辺情報を考慮したズーム映像の生成”

    渡邊健司

  • Osaka University 100 Papers Selection (Annual Report of Osaka University -Academic Achievement- 2009-2010)

    2009年4月   Osaka University   Watermarked Movie Soundtrack Finds the Position of the Camcorder in a Theater

    Y. Nakashima

  • 優秀ポスター賞

    2008年3月   電子情報通信学会2008年総合大会   “人物追跡と電波を利用した人物位置推定に基づくサーベイランス 映像中の人物同定”

    中嶋大介

  • Osaka University 100 Papers Selection

    2007年8月   大阪大学   ”Learning Personal Preference from Viewer's Operations for Browsing and its Application to Baseball Video Retrieval and Summarization”, IEEE Trans. Multimedia, Vol. 9, No. 5, pp. 1016-1025 (2007-08).

    N. Babaguch

  • 平成18年度国立学校法人大阪大学教育・研究功績賞

    2007年2月   大阪大学  

    馬場口登

  • 情報システムソサイエティ活動功労賞

    2006年12月   電子情報通信学会  

    馬場口登

  • 優秀論文賞(1996 JSAI Convention Award)

    1996年6月   人工知能学会(1996年度人工知能学会全国大会(第10回))   “三次元物体形状の定量的・定性的モデルの獲得”

    安村禎明

  • テレコムシステム技術学生賞(入賞論文)

    1996年3月   電気通信普及財団   “不完全知識を扱う高水準論理型データベースの問合せのための関係代数表現”

    大原剛三

▼全件表示

共同研究・競争的資金等の研究

  • インフォデミックを克服するソーシャル情報基盤技術/多様なモダリティによる高度なFM生成技術

    2020年12月 - 2025年3月

    科学技術振興機構  戦略的創造研究推進事業/CREST 

  • 個人の利便性確保となりすまし防止を実現する生体情報保護活用基盤

    研究課題/領域番号:18H04120  2018年4月 - 2021年3月

    日本学術振興会  科学研究費助成事業 基盤研究(A)  基盤研究(A)

    越前 功, 馬場口 登, 山岸 順一

  • 建機作業解析自動化の研究

    2017年7月 - 2020年3月

    株式会社小松製作所 コマツみらい建機協働研究所  共同研究  共同研究

  • メディアクローン攻撃を防御するコミュニケーション系

    研究課題/領域番号:16H06302  2016年5月 - 2021年3月

    日本学術振興会  科学研究費助成事業 基盤研究(S)  基盤研究(S)

    馬場口 登, 越前 功

  • 高精度高速3次元計測技術の研究

    2015年7月 - 2018年3月

    株式会社小松製作所 コマツみらい建機協働研究所  共同研究  共同研究

  • 個人の意思反映となりすまし検知を実現するマルチメディア保護活用基盤

    研究課題/領域番号:15H01686  2015年4月 - 2018年3月

    日本学術振興会  科学研究費助成事業 基盤研究(A)  基盤研究(A)

    越前 功, 馬場口 登, 山岸 順一

  • 新たなソーシャル・ビックデータ利活用基盤技術の研究開発

    2014年7月 - 2016年3月

    独立行政法人 情報通信研究機構(NICT)  ソーシャル・ビッグデータ利活用・基盤技術の研究開発  受託研究費

  • センシングで得られるプライバシー情報の開示に調和したユーザ利得の創出

    研究課題/領域番号:24240031  2012年4月 - 2016年3月

    日本学術振興会  科学研究費助成事業 基盤研究(A)  基盤研究(A)

    馬場口 登, 新田 直子, 伊藤 義道, 河野 和宏, 中村 和晃

  • ウェブスケール画像例に基づく概念間の距離

    研究課題/領域番号:24650039  2012年4月 - 2015年3月

    日本学術振興会  科学研究費助成事業 挑戦的萌芽研究  挑戦的萌芽研究

    馬場口 登

  • プライバシー・センシティブな視覚情報のセンシングと保護処理

    研究課題/領域番号:21240016  2009年 - 2011年

    日本学術振興会  科学研究費助成事業 基盤研究(A)  基盤研究(A)

    馬場口 登, 新田 直子, 伊藤 義道

  • AVコンテンツの特徴量抽出技術等を用いたAV機器向け新規機能の共同研究

    2008年11月 - 2009年9月

    ㈱三洋電機研究開発本部デジタル技術研究所  共同研究  共同研究

  • 音響透かしを用いた音取得位置推定と著作権保護への応用

    2007年11月 - 2008年3月

    (財)大川情報通信基金  助成

  • 内部統制を実現するポリシー制御技術に関する研究開発

    2007年5月 - 2008年3月

    ㈱NTTデータ技術開発本部  共同研究  共同研究

  • 観測型コンテンツの提示/センサ情報の社会利用のためのコンテンツ化

    2007年4月 - 2010年3月

    独立行政法人科学技術振興機構  独立行政法人科学技術振興機構 科学技術連携施策群の効果的・効率的な推進  受託研究費

  • 局所特徴群の近似近傍探索に基づく大規模高速画像認識技術の理論的基盤と応用

    研究課題/領域番号:19300062  2007年 - 2009年

    日本学術振興会  科学研究費助成事業 基盤研究(B)  基盤研究(B)

    黄瀬 浩一, 岩村 雅一, 馬場口 登

  • セマンティックスとマルチモーダルに基づくハイライト抽出・要約・索引付け・検索

    研究課題/領域番号:07F07079  2007年 - 2009年

    日本学術振興会  科学研究費助成事業 特別研究員奨励費  特別研究員奨励費

    馬場口 登, DAO SonMinh, DAO Son Minh

  • ポリシー制御技術に関する研究

    2006年5月 - 2007年3月

    NTTデータ技術開発本部  共同研究  共同研究

  • プライバシー保護処理を用いた安心感のある映像サーベイランスの研究

    2006年4月 - 2009年3月

    総務省  戦略的情報通信研究開発推進制度(SCOPE) 特定領域重点型研究開発  受託研究費

  • プライバシー保護のための映像の変換・加工処理

    研究課題/領域番号:18650038  2006年 - 2007年

    日本学術振興会  科学研究費助成事業 萌芽研究  萌芽研究

    馬場口 登

  • テレビ視聴環境のセンシングによる個人的選好の自動獲得

    2005年3月 - 2006年3月

    (財)放送文化基金  助成

  • 全方位サーベイランス映像の時空間インデキシングによる可視化と要約

    研究課題/領域番号:14380163  2002年 - 2003年

    日本学術振興会  科学研究費助成事業 基盤研究(B)  基盤研究(B)

    馬場口 登, 柴田 史久, 大原 剛三, 八木 康史, 山澤 一誠, 横矢 直和

  • コンテクスチァル・メディエータを用いたインタラクティブ視覚拡張型放送に関する研究

    2001年4月 - 2006年3月

    通信・放送機構(TAO)/情報通信研究機構(NICT)  創造的情報通信技術研究開発推進制度  受託研究費

  • 人間同士の自然なコミュニケーションを支援する知能メディア技術

    研究課題/領域番号:13GS0003  2001年 - 2005年

    日本学術振興会  科学研究費助成事業 学術創成研究費  学術創成研究費

    西田 豊明, 馬場口 登, 谷口 倫一郎, 黒橋 禎夫, 植田 一博, 伝 康晴, 辻井 潤一, 美濃 導彦, 中村 裕一

  • 物体・環境のモデリングおよび環境の表示におけるアフォーダンス概念の導入

    研究課題/領域番号:12480087  2000年 - 2001年

    日本学術振興会  科学研究費助成事業 基盤研究(B)  基盤研究(B)

    北橋 忠宏, 豊田 順一, 柴田 史久, 馬場口 登, 床井 浩平, 稲葉 晶子

  • インタモーダル協調とドメイン知識利用による連続メディアのネットワーク型構造化

    研究課題/領域番号:11480087  1999年 - 2001年

    日本学術振興会  科学研究費助成事業 基盤研究(B)  基盤研究(B)

    馬場口 登, 柴田 史久, 大原 剛三, 北橋 忠宏

  • ビデオサーベイランスのための全方位画像を用いた視覚増強機構

    研究課題/領域番号:11230206  1999年 - 2001年

    日本学術振興会  科学研究費助成事業 特定領域研究(B)  特定領域研究(B)

    横矢 直和, 馬場口 登, 竹村 治雄, 山澤 一誠, 岩佐 英彦

  • マルチモーダル情報処理研究グループ運営費

    1998年4月 - 1999年3月

    (財)生産技術研究奨励会  研究助成  助成

  • 情報の統合・変換に基づく情報表示の高度化とその概念の認識・理解への展開

    研究課題/領域番号:10558051  1998年 - 1999年

    日本学術振興会  科学研究費助成事業 基盤研究(B)  基盤研究(B)

    北橋 忠宏, 柴田 史久, 大原 剛三, 馬場口 登, 山岡 正輝, 淡 誠一郎

  • 不完全知識創出のための知識コンバージョンに関する研究

    研究課題/領域番号:08878048  1996年 - 1997年

    日本学術振興会  科学研究費助成事業 萌芽的研究  萌芽的研究

    馬場口 登, 大原 剛三

  • 第3回文書解析と認識国際会議(ICDAR95) カナダ・Montreal

    1995年8月

    原総合知的通信システム基金  海外渡航助成  助成

  • 知的活動支援のためのメディア統合に関する研究

    研究課題/領域番号:07408006  1995年 - 1996年

    日本学術振興会  科学研究費助成事業 基盤研究(A)  基盤研究(A)

    北橋 忠宏, 角所 考, 馬場口 登, 淡 誠一郎, 高野 敦子

  • 第1回IEEE画像処理国際会議 米国・Austin, TX

    1994年11月

    電気通信普及財団  海外渡航助成  助成

  • 知識発見・自己組織化機能を有する高次論理型データベースの構築

    1994年4月 - 1995年3月

    電気通信普及財団  研究助成  助成

  • 主観的情報処理原理に基づくユーザ支援型地図画像情報システム

    研究課題/領域番号:06680378  1994年 - 1995年

    日本学術振興会  科学研究費助成事業 一般研究(C)  一般研究(C)

    馬場口 登

  • 知識発見・自己組織化機能を有する高次論理型データベースに関する研究

    1993年4月 - 1994年3月

    電気通信普及財団  研究助成  助成

  • 仮説推論を用いた視覚情報処理による空間認識

    研究課題/領域番号:05452358  1993年 - 1994年

    日本学術振興会  科学研究費助成事業 一般研究(B)  一般研究(B)

    北橋 忠宏, 顧 海松, 角所 考, 淡 誠一郎, 馬場口 登

  • 完全/不完全知識を扱う高次推論型データベースにおける知識獲得

    研究課題/領域番号:05213210  1993年

    日本学術振興会  科学研究費助成事業 重点領域研究  重点領域研究

    馬場口 登, 大川 剛直

  • 知的支援機構を特徴とする地図画像情報システムの構成

    研究課題/領域番号:05780318  1993年

    日本学術振興会  科学研究費助成事業 奨励研究(A)  奨励研究(A)

    馬場口 登

  • 完全/不完全知識を扱う高次推論型データベースにおける知識獲得

    研究課題/領域番号:04229211  1992年

    日本学術振興会  科学研究費助成事業 重点領域研究  重点領域研究

    馬場口 登, 大川 剛直

  • 自己認識的データベースシステムに関する研究

    研究課題/領域番号:03750283  1991年

    日本学術振興会  科学研究費助成事業 奨励研究(A)  奨励研究(A)

    馬場口 登

  • 第10回パターン認識国際会議 米国・Atlantic City, NJ

    1990年6月

    電気通信普及財団  海外渡航助成  助成

  • 高次推論に基づくプログラム合成とソフトウェア発想モデルに関する研究

    研究課題/領域番号:02249204  1990年

    日本学術振興会  科学研究費助成事業 重点領域研究  重点領域研究

    豊田 順一, 中村 孝, 馬場口 登, 溝口 理一郎

  • 知識工学を用いた書道・CAIシステムに関する基礎的研究

    研究課題/領域番号:01460271  1989年 - 1990年

    日本学術振興会  科学研究費助成事業 一般研究(B)  一般研究(B)

    手塚 慶一, 内尾 文隆, 馬場口 登, 中西 暉

  • 完全な知識と不完全な知識を統合する知識ベースによる高次推論機構

    研究課題/領域番号:01780036  1989年

    日本学術振興会  科学研究費助成事業 奨励研究(A)  奨励研究(A)

    馬場口 登

  • 高次コミュニケ-ションのための画像の意味抽出

    研究課題/領域番号:01633517  1989年

    日本学術振興会  科学研究費助成事業 重点領域研究  重点領域研究

    北橋 忠宏, 淡 誠一郎, 馬場口 登, 阿部 憲広

  • 自由書式の手書き文字列における文字切り出しと認識に関する研究

    研究課題/領域番号:61750340  1986年

    日本学術振興会  科学研究費助成事業 奨励研究(A)  奨励研究(A)

    馬場口 登

  • 自由書式の手書き文字列における文字切り出しと認識に関する研究

    研究課題/領域番号:60750333  1985年

    日本学術振興会  科学研究費助成事業 奨励研究(A)  奨励研究(A)

    馬場口 登

  • 非単調論理の実現についての基礎的研究

    研究課題/領域番号:60210019  1985年

    日本学術振興会  科学研究費助成事業 特定研究  特定研究

    相原 恒博

  • 自由書式の手書き文字列における文字切り出しと認識に関する研究

    研究課題/領域番号:59750283  1984年

    日本学術振興会  科学研究費助成事業 奨励研究(A)  奨励研究(A)

    馬場口 登

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