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Video Coding with Superimposed Motion-Compensated Signals: Applications to H.264 and Beyond: The Springer International Series in Engineering and Computer Science, cartea 760

Autor Markus Flierl, Bernd Girod
en Limba Engleză Hardback – 29 feb 2004
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.
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Specificații

ISBN-13: 9781402077593
ISBN-10: 1402077599
Pagini: 161
Ilustrații: XI, 161 p.
Dimensiuni: 155 x 235 x 15 mm
Greutate: 0.41 kg
Ediția:2004
Editura: Springer Us
Colecția Springer
Seria The Springer International Series in Engineering and Computer Science

Locul publicării:New York, NY, United States

Public țintă

Research

Cuprins

Background and Related Work.- Motion-Compensated Prediction with Complementary Hypotheses.- ITU-T Rec. H.263 and Superimposed Prediction.- ITU-T Rec. H.264 and Generalized B-Pictures.- Motion Compensation for Groups of Pictures.- Summary.

Caracteristici

Investigates linearly combined motion compensated signals, and generalizes the well known superposition for bidirectional prediction in B-pictures Provides a deeper understanding of the underlying principles of superimposed motion-compensated signals