Faculty Profiles - Noboru Babaguchi

Papers - Noboru Babaguchi

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An improved steganalysis method of LSB matching Reviewed

Xiaoyi Yu, Noboru Babaguchi

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

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.

A DISCRETE WAVELET TRANSFORM BASED RECOVERABLE IMAGE PROCESSING FOR PRIVACY PROTECTION Reviewed

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

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

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 Reviewed

Makoto Yamamoto, Naoko Nitta, Noboru Babaguchi

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

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.

RUN LENGTH BASED STEGANALYSIS FOR LSB MATCHING STEGANOGRAPHY Reviewed

Xiaoyi Yu, Noboru Babaguchi

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

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 Reviewed

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

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 Reviewed

Xiaoyi Yu, Noboru Babaguchi

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

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.

Automatic prosody labeling using multiple models for Japanese Reviewed

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

IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS E90D ( 11 ) 1805 - 1812 2007.11

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 Reviewed

Noboru Babaguchi

Conversational Informatics: An Engineering Approach 233 - 248 2007.10

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

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

Proc. Interspeech 1917 - 1920 2007.8

Estimating Intervals of Interest during TV Viewing of Specific User for Personal Preference Acquisition(jointly worked) Reviewed

Makoto Yamamoto, Hiroaki Tanimoto, Naoko Nitta, Noboru Babaguchi

The Institute of Electronics, Information and Communication Engineers J90-D ( 8 ) 2202 - 2211 2007.8

Audio-based estimation of speakers directions for multimedia meeting logs Reviewed

Yuki Yokoe, Yoshimichi Ito, Noboru Babaguchi

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

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

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 Reviewed

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

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 Reviewed

Xiaoyi Yu, Noboru Babaguchi

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

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.

Steganography using sensor noise and linear prediction synthesis filter Reviewed

Xiaoyi Yu, Xinshan Zhu, Noboru Babaguchi

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

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.

Video completion with spatio-temporal features for video caption removal

Ryota Shoji, Naoko Nitta, Noboru Babaguchi

Kyokai Joho Imeji Zasshi/Journal of the Institute of Image Information and Television Engineers 61 ( 1 ) 91 - 97 2007

We propose a video completion method for automatically removing unnecessary objects from video. Using this method, a user selects an object from a frame on our interface, and the corresponding objects are extracted from all frames of the video. Based on estimated camera/object motions, visually plausible video completion with spatio-temporal features is achieved by repeatedly using the temporal correlation between adjacent frames and the spatial correlation between adjacent pixels in a frame. Experiments were conducted that targeted and removed video captions to evaluate processing time and visual plausibility.

User and device adaptation for sports video content Reviewed

Yoshimasa Takahashi, Naoko Nitta, Noboru Babaguchi

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

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.

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

N. Nitta, N. Babaguchi

Proc. the 1st Korea-Japan Joint Workshop on Pattern Recognition(KJPR) 2006.11

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

M. Yamamoto, N. Nitta, N. Babaguchi

Proc. of the 7th IEEE Pacific-Rim Conference on Multimedia(PCM2006) 615 - 623 2006.11

Estimation of recording location using audio watermarking Reviewed

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

Proc. of ACM Multimedia and Security Workshop 2006 108 - 113 2006.9

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Papers - Noboru Babaguchi