3D Video Coding for Embedded Devices
Energy Efficient Algorithms and Architectures
(Sprache: Englisch)
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.
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Produktinformationen zu „3D Video Coding for Embedded Devices “
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.
Klappentext zu „3D Video Coding for Embedded Devices “
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.
Inhaltsverzeichnis zu „3D Video Coding for Embedded Devices “
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.
Autoren-Porträt von Bruno Zatt, Muhammad Shafique, Sergio Bampi, Jörg Henkel
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.
Bibliographische Angaben
- Autoren: Bruno Zatt , Muhammad Shafique , Sergio Bampi , Jörg Henkel
- 2016, Softcover reprint of the original 1st ed. 2013, XIX, 204 Seiten, 112 farbige Abbildungen, Maße: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Verlag: Springer, Berlin
- ISBN-10: 149395508X
- ISBN-13: 9781493955084
Sprache:
Englisch
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