Video Coding with Superimposed Motion-Compensated Signals

1. Front Matter

   Pages i-xi

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2. Introduction

   Pages 1-3

3. Background and Related Work

   Pages 5-33

4. Motion-Compensated Prediction with Complementary Hypotheses

   Pages 35-68

5. ITU-T Rec. H.263 and Superimposed Prediction

   Pages 69-83

6. ITU-T Rec. H.264 and Generalized B-Pictures

   Pages 85-108

7. Motion Compensation for Groups of Pictures

   Pages 109-127

8. Summary

   Pages 129-131

9. Back Matter

   Pages 133-161

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Appendices 133 A Mathematical Results 133 A.1 Singularities of the Displacement Error Covariance Matrix 133 A.2 A Class of Matrices and their Eigenvalues 134 A.3 Inverse of the Power Spectral Density Matrix 134 A.4 Power Spectral Density of a Frame 136 Glossary 137 References 141 Index 159 Preface This book aims to capture recent advances in motion compensation for - ficient video compression. It investigates linearly combined motion comp- sated signals and generalizes the well known superposition for bidirectional prediction in B-pictures. The number of superimposed signals and the sel- tion of reference pictures will be important aspects of the discussion. The application oriented part of the book employs this concept to the well known ITU-T Recommendation H.263 and continues with the improvements by superimposed motion-compensated signals for the emerging ITU-T R- ommendation H.264 and ISO/IEC MPEG-4 (Part 10). In addition, it discusses a new approach for wavelet-based video coding. This technology is currently investigated by MPEG to develop a new video compression standard for the mid-term future.

• Augmented Reality
• H.264
• Information
• Performance
• Signal
• Standard
• Standards
• Video
• Wavelet
• coding
• video compression

• Signal Processing Institute, Swiss Federal Institute of Technology, Switzerland

  Markus Flierl

• Information Systems Laboratory, Stanford University, USA

  Bernd Girod

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