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3D Video Coding for Embedded Devices
Details
This book shows how to develop energy-efficient algorithms and hardware architectures to allow high-definition 3D video coding on resource-constrained embedded devices. Includes an introduction to 3D video, state-of-the-art 3D video coding techniques and more.
This book shows readers how to develop energy-efficient algorithms and hardware architectures to enable high-definition 3D video coding on resource-constrained embedded devices. Users of the Multiview Video Coding (MVC) standard face the challenge of exploiting its 3D video-specific coding tools for increasing compression efficiency at the cost of increasing computational complexity and, consequently, the energy consumption. This book enables readers to reduce the multiview video coding energy consumption through jointly considering the algorithmic and architectural levels. Coverage includes an introduction to 3D videos and an extensive discussion of the current state-of-the-art of 3D video coding, as well as energy-efficient algorithms for 3D video coding and energy-efficient hardware architecture for 3D video coding.
Discusses challenges related to performance and power in 3D video coding for embedded devices Describes energy-efficient algorithms for reducing computational complexity at multiple hierarchical levels Presents energy-efficient hardware architectures along with methods for reducing on-chip and off-chip energy related to both data processing and memory access Shows how to leverage jointly the algorithm and hardware architecture layers of the system Includes supplementary material: sn.pub/extras
Autorentext
Multiview Video Coding Analysis for Energy and Quality.- Energy-Efficient Algorithms for Multiview Video Coding.- Energy-Efficient Architecture for Multiview Video Coding.- Results and Comparison.
Inhalt
Introduction.- Background and Related Work.- Multiview Video Coding Analysis for Energy and Quality.- Energy-Effiecient Algorithms for Multiview Video Coding.- Energy-Efficient Architectures for Multiview Video Coding.- Results and Comparison.- Conclusion and future Works.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09781493955084
- Lesemotiv Verstehen
- Genre Electrical Engineering
- Auflage Softcover reprint of the original 1st edition 2013
- Sprache Englisch
- Anzahl Seiten 224
- Herausgeber Springer New York
- Größe H235mm x B155mm x T13mm
- Jahr 2016
- EAN 9781493955084
- Format Kartonierter Einband
- ISBN 149395508X
- Veröffentlichung 23.08.2016
- Titel 3D Video Coding for Embedded Devices
- Autor Bruno Zatt , Jörg Henkel , Sergio Bampi , Muhammad Shafique
- Untertitel Energy Efficient Algorithms and Architectures
- Gewicht 347g