Video Data Compression for Multimedia Computing -

Résumé :
<em>Video Data Compression for Multimedia Computing</em> serves as an excellent reference resource for researchers, engineers and practitioners working on video data compression for multimedia computing. By using mathematical tools such as stochastic processes analysis and multiresolution representations, and by taking inspirations from perhaps the most sophisticated vision system, the human vision system, the chapters in this book face head-on many of the challenges in this fast moving field. In addition to serving as an invaluable reference book, <em>Video Data</em> <em>Compression for Multimedia Computing</em> may be used as a text for advanced courses covering the subject.

Sommaire:
1 Wavelet-Based Video Compression.- 1 Introduction.- 2 Background.- 3 Wavelet-decomposed Multiresolution Motion Compensation.- 4 Bit Allocation and Quantization.- 5 Simulation Results.- References.- 2 Video Compression using Adaptive Wavelet Packets and DPCM.- 1 Introduction.- 2 A 3D Subband Coding for Video Compression.- 3 Adaptive Wavelet Packet Decomposition.- 4 Video Coder Using Adaptive Wavelet Packet and DPCM.- 5 Entropy Encoder.- 6 Experimental Results.- 7 Conclusion.- References.- 3 Spatial Temporal Prediction for Video Data Compression.- 1 Introduction.- 2 Survey of the Existing Techniques.- 3 Mathematical Formulation.- 4 Experimental Results.- 5 Discussion.- 6 Appendix.- References.- 4 On Gibbs-Markov Models for Motion Computation.- 1 Introduction.- 2 Framework.- 3 Motion Trajectory Models.- 4 MAP and Other Bayesian Estimation Criteria.- 5 Models for the Likelihood Distribution.- 6 Pixel-based Motion Models.- 7 Block-based Motion Models.- 8 Region-based Motion Models.- 9 Summary.- 10 Appendix.- References.- 5 The HDTV Grand Alliance System.- 1 Introduction.- 2 System Requirements for Terrestrial Broadcast in the US.- 3 GA System Overview.- 4 HDTV System Description.- 5 Video Scanning Format Considerations.- 6 Migration to Higher Resolution.- References.- 6 Visual Motion Processing and Detection - from Biology to Modeling.- 1 Introduction to Biological Visual System.- 2 Modeling the Visual System.- 3 Detection of Local Motion Velocity in V1.- 4 Detection of Global Motion Velocity in MT.- 5 Detection of Global Motion Patterns in MST.- 6 Questions for Future Studies.- 7 Appendix.- References.- 7 Object Tracking using Hierarchical 2-D Mesh Modeling for Content Based Video Compression.- 1 Introduction.- 2 Modeling.- 3 Mesh Tracking.- 4 Application toContent-Based Video Compression.- 5 Results.- 6 Conclusion.- References.- 8 Separation of Moving Regions from Background in an Image Sequence Acquired with a Mobil Camera.- 1 Introduction.- 2 Motion Model and Motion Estimation.- 3 Motion Detection Algorithm.- 4 Computational Issues.- 5 Experimental Results.- 6 Conclusion.- References.- 9 Very Low Bit Rate Video Coding Based on Statistical Spatio-Temporal Prediction of Motion, Segmentation and Intensity Fields.- 1 Introduction.- 2 Framework of the Proposed Coding Approach.- 3 Motion and Segmentation Estimation and Prediction.- 4 Occlusions.- 5 Motion Model Failures.- 6 Global Refinement.- 7 Experimental Results.- 8 Conclusions.- References.- 10 Gibbs Model Based 3D Motion and Structure Estimation for Object-Based Video Coding Applications.- 1 Introduction.- 2 Estimation of Motion in Video Sequence.- 3 An Object-Based Rigid 3D Motion Analysis.- 4 A Non-rigid Gibbs 3D Motion Model.- 5 Discussion and Conclussion.- References.- 11 Motion Vector Prediction Based on Frame Differences.- 1 Introduction.- 2 Background.- 3 Formulation for Motion Prediction.- 4 Computational Issue.- 5 Experimental Results.- 6 Discussion and Conclusion.- References.