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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： You-Neng Xiao Hong Lu Xiangyang Xue Viet-Anh Nguyen Yap-Peng Tan Intelligent Information Processing Laboratory Department of Computer Science and Engineering Fudan University Shanghai China School of Electrical and Electronic Engineering Nanyang Technological University Singapore

ISBN: (纸本)0780388348

A new video coding standard, H.264/AVC, has recently been standardized. It achieves its high coding efficiency by employing a number of advances in video coding technology. We propose an efficient rate control method for MPEG-2 to H.264/AVC transcoding. Specifically, the values of quantization parameters for I and B frames are computed adaptively based on the side information from the precoded video. Simulations show that our proposed method can meet the target bitrate accurately and achieves a better performance than the rate control scheme of the reference software, H.264/AVC JM 7.4, without increasing the complexity.

关键词： Automatic voltage control Transcoding Video coding Quantization Bit rate Contracts IEC standards ISO standards Research and development Information processing

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Shot Boundary Classification and Refinement Using Inter-Frame Similarity Patterns

Shot Boundary Classification and Refinement Using Inter-Fram...

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International Conference on Information, Communications and Signal processing

作者： Linjun Yang Hong Lu Bei Wang Xiangyang Xue Yap-Peng Tan Intelligent Information Processing Laboratory Department of Computer Science & Engineering Fudan University Shanghai China School of Electrical & Electronic Engineering Nanyang Technological University Singapore

In content-based video analysis, shot boundary detection (SBD) is a common first step to segment a video into fundamental units of shots, each composing consecutive frames filmed with a single camera act. Many methods have been proposed in the literature for SBD, and many require the use of different models to determine the types of various shot boundaries. In this paper, we propose a new and effective shot boundary classification (SBC) and refinement method by analyzing the inter-frame similarity patterns around the detected shot boundaries. In particular, the proposed method can classify the detected shot boundaries into five types-shot cuts, wipes, dissolves, fades, and non-boundaries-using a more generic and accurate manner, and the non-boundaries obtained in the classification can be used to refine the SBD results by eliminating the false detections to attain a better detection performance, as evidenced by the experimental results presented

关键词： Gunshot detection systems Pattern analysis Fading Information processing Laboratories computer science Information analysis Smart cameras Sorting Video sequences

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Program segmentation for TV videos

Program segmentation for TV videos

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： Liuhong Liang Hong Lu Xiangyang Xue Yap-Peng Tan Intelligent Information Processing Laboratory Department of Computer Science and Engineering Fudan University Shanghai China School of Electrical and Electronic Engineering Nanyang Technological University Singapore

ISBN: (纸本)0780388348

A number of video browsing and retrieval systems use a hierarchical video structure (video, scene, group, shot, and keyframe) as the basis for information organization and access. However, this structure cannot represent and manage efficiently the videos recorded from TV channels, since TV videos are usually very long and consist of many scenes. More importantly, people tend to watch these videos by program and not by scenes or shots. To address this problem, we insert a new structure level, referred to as program, between the video and scene level to enhance the hierarchical structure representation. An automatic program segmentation algorithm is presented for constructing the video structure in this paper. Experimental results based on real-world TV videos demonstrate the effectiveness of the proposed approach.

关键词： Videos Layout Gunshot detection systems Watches TV broadcasting Intelligent structures Information processing Laboratories computer science Information retrieval

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Efficient Video Clip Retrieval Using Index Structure

Efficient Video Clip Retrieval Using Index Structure

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IEEE Workshop on Multimedia Signal processing

作者： Jing Zhang Linjun Yang Hong Lu Xiangyang Xue Yap-peng Tan Shanghai Key Laboratory of Intelligent Information Processing Department of Computer Science & Engineering Fudan University Shanghai China School of Electrical & Electronic Engineering Nanyang Technological University Singapore

Retrieving similar video clips from large video database requires high query efficiency, precision and recall, which remains a challenging problem since the traditional query algorithms are inefficient and time-consuming. In this paper, we adopt the high-dimensional index structure vector-approximation file (VA-file) to organize the video database, and propose a new similarity measure which takes the temporal order among the video representations into account to improve the accuracy of query. Based on the VA-file and similarity measure, a new video clip retrieval algorithm is proposed in our method to achieve high query efficiency by using restricted sliding window to construct candidate video clips. Experimental results show that the proposed video retrieval method is efficient and effective

关键词： Information retrieval Algorithm design and analysis Indexes Computational complexity Histograms Information analysis Deductive databases Information processing computer science Data engineering

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A low-level approach to semantic classification of mobile multimedia content

A low-level approach to semantic classification of mobile mu...

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The 2nd European Workshop on the Integration of Knowledge, Semantics and Digital Media Technology, 2005. EWIMT 2005. (Ref. No. 2005/11099)

作者： A. Mariappan M. Igarta C. Taskiran B. Gandhi E.J. Delp Video and Image Processing Laboratory (VIPER) School of Electrical and Computer Engineering Purdue University West Lafayette IN USA Multimedia Research Lab Motorola Research Laboratories Schaumburg IL USA

Pseudo-semantic labeling is a novel approach to organize mobile multimedia content such as images and videos. We have developed low-complexity algorithms to derive labels, such as "indoor/outdoor", "face/not face", that can be run on the mobile device. "Indoor/outdoor" classification is done based on the presence of sky in the images. Skin like pixels are detected based on the color information and if present they are matched to a pre-defined "facetemplate" to detect the presence of faces in images. We have developed an initial framework for finding the degree of blurriness in an image, which can be used for labels like "blurry/not blurry".

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Feature selection: We've barely scratched the surface

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IEEE INTELLIGENT SYSTEMS 2005年第6期20卷 74-76页

作者： Forman, G Hewlett-Packard Labs. United States Arizona State University United States Department of Electrical Engineering United States Genomic Signal Processing Laboratory Texas A and M University United States Computational Biology Division Translational Genomics Resesarch Insititute Phoenix United States Department of Electrical and Computer Engineering Northeastern University United States Motorola Labs. Intel Genomics Division Lawrence Berkeley National Laboratory United States Lawrence Berkeley National Laboratory United States Life Science Division Lawrence Berkeley National Laboratory United States Neurogenomics Division Translational Genomics Research Institute United States Department of Computer Science and Engineering Fulton School of Engineering Arizona State University United States Department of Computer Science University of New York Binghamton United States Department of Computer Science and Engineering Arizona State University United States

Various feature selection techniques were studied. The trend toward richer data types is pushing feature selection in both scale and complexity. Natural language text features and image features are becoming commonplace. Several trends will increase the demand for feature selection. Time plays an additional role in some nonstationary domains where the best features have a seasonal dependency.

关键词： Feature extraction

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Stability Analysis of a Multivariable Fuzzy Controller

Stability Analysis of a Multivariable Fuzzy Controller

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IEEE International Symposium on Intelligent Control (ISIC)

作者： G. Bitsoris J. Aguilar-Martin A. Acevez M. Vassilaki N. Miliou Department of Electrical and Computer Engineering University of Patras Patras Greece LAAS-CNRS Toulouse France Technologico de Monterrey Mexico ASPETE School of Pedagogical and Technological Education Heraklion Athens Greece ETH Signal and Information Processing Laboratory Zurich Switzerland

In this paper a method for the design of fuzzy controllers that overcome the problems of lack of guaranteed stability and of computational explosion is developed. The proposed fuzzy controller takes into account the technological constraints on the input and output variables and can be easily designed even for multivariable systems. In the first part of the paper, a new fuzzy controller, named natural logic controller, is presented. Then the stability properties of systems controlled by this type of controller are studied. Based on the results of this analysis a systematic approach to the design of multivariable constrained fuzzy control systems with guaranteed stability is developed

关键词： Stability analysis Fuzzy control Control systems Design methodology Fuzzy logic Explosions Fuzzy systems Fuzzy sets Laboratories Educational technology

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Journal of Information Science and engineering: Editorial notice

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Journal of Information Science and engineering 2005年第5期21卷 i-ii页

作者： Lee, Der-Tsai Amato, Nancy M. Chang, Shih-Fu Chen, Homer H. Chen, Tsuhan Hsu, Tsan-Sheng Hwang, Jenq-Neng Kuo, Sy-Yen Kuo, Tei-Wei Li, Chung-Sheng Tokuyama, Takeshi Wing, Jeannette Wu, Tzong-Chen Yen, John Computer Science at Texas A and M University United States Parasol Laboratory United States IEEE Transactions on Parallel and Distributed Systems Computing Research Association's Committee on the Status of Women in Computing Research CRA-W's Distributed Mentor Program United States Department of Electrical Engineering Columbia University United States Lab. United States College of Electrical Engineering and Computer Science National Taiwan University Taiwan IEEE Transactions on Circuits and Systems for Video Technology IEEE Department of Electrical and Computer Engineering Carnegie Mellon University Pittsburgh PA United States ACM ACM SIGACT IEEE Computer Society IICM Austria Research and Development of the Department Multimedia Signal Processing Technical Committee IEEE Signal Processing Society United States IEEE Transactions on Circuits and systems for Video Technology College of Electrical Engineering and Computer Science National Taiwan Ocean University Keelung Taiwan Department of Electrical Engineering National Taiwan University Taiwan Department of Computer Science and Information Engineering National Taiwan University Taipei Taiwan IEEE Technical Committee on Real-Time Systems Computer Science Division IBM T.J. Watson Research Center United States IBM Research Division Graduate School of Information Sciences Tohoku University Japan ACM IPSJ Mathematical Society of Japan Japan Department of Computer Science Computer Science Department Carnegie Mellon University United States National Academies of Science's Computer Science and Telecommunications Board United States Microsoft's Trustworthy Academic Advisory Board Intel Research Pittsburgh's Advisory Board United States Dartmouth's Institute for Security Technology Studies Advisory Committee Canada Sloan Research Fellowships Program Committee United States ACM Taiwan China Information Sciences and Technology Pennsylvania State University United States Laboratory for Intelligent Agents Penn State's School of Info

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Corrections to “Stability of Multidimensional Systems Using Genetic Algorithms”

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IEEE Transactions on Circuits and Systems I: Regular Papers 2005年第9期52卷 1982-1982页

作者： N.E. Mastorakis I.F. Gonos M.N.S. Swamy Department of Computer Science Military Institution Hellenic Naval Academy University Education Piraeus Greece High Voltage Laboratory School of Electrical and Computer Engineering National and Technical University of Athens Athens Greece Center for Signal Processing and Communications Department of Electrical and Computer Engineering Concordia University Montreal QUE Canada

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Adaptive lossless video compression using an integer wavelet transform

Adaptive lossless video compression using an integer wavelet...

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2004 International Conference on Image processing, ICIP 2004

作者： Park, Sahng-Gyu Delp, Edward J. Yu, Haoping Video and Image Processing Laboratory School of Electrical and Computer Engineering Purdue University West Lafayette IN United States Corporate Research Group Thomson Indianapolis IN United States

ISBN: (纸本)0780385543

In this paper, we describe an adaptive lossless compression algorithm for color video sequences utilizing backward adaptive temporal prediction and an integer wavelet transform. We exploit two redundancies in color video sequences, specifically spatial and temporal redundancies. We show that an adaptive scheme exploiting the two redundancies has better compression performance than lossless compression of individual image frames. The result of the proposed scheme is compared to current video compression algorithms. ©2004 IEEE.

关键词： Image compression

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