Prentice Hall, 1995. — 548.At present, development of products and services offering full-motion digital video is undergoing remarkable progress, and it is almost certain that digital video will have a significant economic impact on the computer, telecommunications, and imaging industries in the next decade. Recent advances in digital video hardware and the emergence of international standards for digital video compression have already led to various desktop digital video products, which is a sign that the field is starting to mature. However, much more is yet to come in the form of digital TV, multimedia communication, and entertainment platforms in the next couple of years. There is no doubt that digital video processing, which began as a specialized research area in the 70s, has played a key role in these developments. Indeed, the advances in digital video hardware and processing algorithms are intimately related, in that it is the limitations of the hardware that set the possible level of processing in real time, and it is the advances in the compression algorithms ,that have made full-motion digital video a reality. The goal of this book is to provide a comprehensive coverage of the principles of digital video processing, including leading algorithms for various applications, in a tutorial style. This book is an outcome of an advanced graduate level course in Digital Video Processing, which I offered for the first time at Bilkent University, Ankara, Turkey, in Fall 1992 during my sabbatical leave. I am now offering it at the University of Rochester. Because the subject is still an active research area, the underlying mathematical framework for the leading algorithms, as well as the new research directions as the field continues to evolve, are presented together as much as possible. The advanced results are presented in such a way that the application-oriented reader can skip them without affecting the continuity of the text.I Representation of Digital Video Basics of Video Time-Varying Image Formation Models Spatio-Temporal Sampling Sampling Structure Conversion II Two-Dimensional Motion Estimation Optical Flow Methods Block-Based Methods Pel-Recursive Methods Bayesian Methods III Three-Dimensional Motion Estimation and Segmentation Methods Using Point Correspondences Optical Flow and Direct Methods Motion Segmentation Stereo and Motion Tracking IV Video Filtering Motion Compensated Filtering Noise Filtering Restoration Standards Conversion Superresolution V Still Image Compression Lossless Compression Dpcm and Transform Coding Still Image Compression Standards Vector Quantization, Subband Coding and Other Methods VI Video Compression Interframe Compression Methods Video Compression Standards Model-Based Coding Digital Video Systems Appendices A: Markov and Gibbs Random Fields B: Basics of Segmentation C: Kalman Filtering
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