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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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.
Video Coding with Superimposed Motion-Compensated Signals: Applications to H.264 and Beyond captures recent advances in motion compensation for efficient video compression. This book investigates linearly combined motion compensated signals, and generalizes the well known superposition for bidirectional prediction in B-pictures. The number of superimposed signals and the reference picture selection are important aspects of discussion.
The application oriented part of the book employs the concept to ITU-T Recommendation H.263, and continues with the improvements by superimposed motion-compensated signals for the EMERGING STANDARDS ITU-T Recommendation H.264 & ISO/IEC MPEG-4 part 10.
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Hardcover. Zustand: new. Hardcover. Video Coding with Superimposed Motion-Compensated Signals: Applications to H.264 and Beyond captures recent advances in motion compensation for efficient video compression. This book investigates linearly combined motion compensated signals, and generalizes the well known superposition for bidirectional prediction in B-pictures. The number of superimposed signals and the reference picture selection are important aspects of discussion. The application oriented part of the book employs the concept to ITU-T Recommendation H.263, and continues with the improvements by superimposed motion-compensated signals for the EMERGING STANDARDS ITU-T Recommendation H.264 & ISO/IEC MPEG-4 part 10. In addition, Video Coding with Superimposed Motion-Compensated Signals: Applications to H.264 and Beyond discusses a new approach for wavelet-based video coding. This technology is currently being investigated by MPEG, to develop a new video compression standard for the mid-term future. The theoretical part of Video Coding with Superimposed Motion-Compensated Signals: Applications to H.264 and Beyond provides a deeper understanding of the underlying principles of superimposed motion-compensated signals. Captures advances in motion compensation for efficient video compression. This book investigates linearly combined motion compensated signals, and generalizes the well known superposition for bidirectional prediction in B-pictures. It discusses the number of superimposed signals and reference picture selection. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9781402077593
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