Faculty Profiles - Noboru Babaguchi

Papers - Noboru Babaguchi

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

Y. Ito, H. Shirahama, N. Babaguchi

Proc. of International Symposium on the Mathematical Theory of Networks and Systems (MTNS2006) 1788 - 1792 2006.7

Personal identification in unconscious sensing by video and GPS positioning Reviewed

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

Proc. of 2nd Korea-Japan Joint Symposium on Network Robot Systems 19 - 24 2006.6

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

K.Morisawa, N.Nitta, N.Babaguchi

Proc. of SPIE-IS&T Electronic Imaging 6073 607307-1 - 607307-10 2006.1

Factors on the sense of privacy in video surveillance Reviewed

Takashi Koshimizu, Tomoji Toriyama, Noboru Babaguchi

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

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 Reviewed

Hiroaki Tanimoto, Naoko Nitta, Noboru Babaguchi

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

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.

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) 2005.7

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 2005.6

[Panel Discussion] Mobile Multimedia Services Reviewed

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

Proc. of WWW2005 Special Interest Tracks and Posters 795 2005.5

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

N Nitta, N Babaguchi, T Kitahashi

MULTIMEDIA TOOLS AND APPLICATIONS 25 ( 1 ) 59 - 83 2005.1

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.

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

Naoko Nitta, Noboru Babaguchi

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

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 Reviewed

Y. Kinoshita, N. Nitta, N. Babaguchi

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

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

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 Reviewed

Yoshimasa Takahashi, Naoko Nitta, Noboru Babaguchi

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

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 Reviewed

Y.Takahashi, N.Nitta, N.Babaguchi

Proc. of Fifth IEEE Pacific-Rim Conference on Multimedia (PCM2004) 272 - 280 2004.12

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 2004.12

Video Scene Retrieval with Sign Sequence Matching Based on Audio Features Reviewed

K. Morisawa, N. Nitta, N. Babaguchi

Proc. of Fifth IEEE Pacific-Rim Conference on Multimedia (PCM2004) 121 - 129 2004.12

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

S. Taniguchi, N.Nitta, N.Babaguchi

Proc. of Pacific Rim Workshop on Digital Steganography 2004 (STEG'04) 80 - 88 2004.11

Personalized abstraction of broadcasted American football video by highlight selection Reviewed

N Babaguchi, Y Kawai, T Ogura, T Kitahashi

IEEE TRANSACTIONS ON MULTIMEDIA 6 ( 4 ) 575 - 586 2004.8

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 Reviewed

Y Ito, W Date, N Babaguchi

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

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.

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

N Babaguchi, T Ishida, K Morisawa

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

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.

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Papers - Noboru Babaguchi