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Titlebook: Visual Content Processing and Representation; 8th International Wo Narciso García,Luis Salgado,José M. Martínez Conference proceedings 2003

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书目名称Visual Content Processing and Representation
副标题8th International Wo
编辑Narciso García,Luis Salgado,José M. Martínez
视频video
概述Includes supplementary material:
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Visual Content Processing and Representation; 8th International Wo Narciso García,Luis Salgado,José M. Martínez Conference proceedings 2003
描述The purpose of VLBV 2003 was to provide an international forum for the d- cussion of the state of the art of visual content processing techniques, standards, and applications covering areas such as: video/image analysis, representation and coding, communications and delivery, consumption, synthesis, protection, and adaptation. The topics of special interest include all the areas relevant to image communications nowadays, from representation and coding to content classi?cation, adaptation, and personalization. A meeting covering such a wide range of topics takes many years to develop. So, please follow a brief story of the evolution of this relevant and specialized forum and of its adaptation to the prevailing interests along time. At the beginning of 1993, the idea of a specialized workshop to discuss topics in advanced image communications came in Lausanne, Switzerland, at a m- ting of the steering committee of the International Picture Coding Symposium. Therefore, the so-called International Workshop on Coding Techniques for Very Low Bit-rate Video VLBV was born as low bit-rate research was considered to be the leading edge. The ?rst workshop was held at the University of Illinoi
出版日期Conference proceedings 2003
关键词coding; communication; feature extraction; image analysis; image processing; image registration; multimedi
版次1
doihttps://doi.org/10.1007/b13938
isbn_softcover978-3-540-20081-9
isbn_ebook978-3-540-39798-4Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2003
The information of publication is updating

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Simple 1D Discrete Hidden Markov Models for Face Recognitionion rate was achieved at 100%, while significantly reduced the computational complexity compared to other 2D-HMM, 2D-PHMM based face recognition systems. The experiments done in Matlab took 1.13 second to train the model for each person, and the recognition time was about 0.3 second.
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Depth-Based Indexing and Retrieval of Photographic Imagesot only in a conventional way but also with a layered representation where a few (typically 3) depth layers define the distance from the camera. This paper describes the beginning of our research with some preliminary results showing that depth information can be efficiently used in CBIR systems.
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What Can Video Analysis Do for MPEG Standards?ques are becoming more and more important for generic rectangular MPEG-4/H.264 video compression, automatic semantic-level analysis techniques are useful (for MPEG-4 object extraction and MPEG-7 indexing/summarization) only in limited well-constrained domains.
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