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MAB
3D Video Coding for Embedded Devices: Energy Efficient Algorithms and Architectures
Kategorie
Beschreibung
036a
XD-US‡XA-DE‡XA-NL
037b
eng
087q
978-1-4614-6758-8
100
Zatt, Bruno
104b
Shafique, Muhammad
108b
Bampi, Sergio
112b
Henkel, Jörg
331
3D Video Coding for Embedded Devices
335
Energy Efficient Algorithms and Architectures
410
New York, NY [u.a.]
412
Springer
425
2013
425a
2013
433
Online-Ressource (XIX, 204 p. 126 illus., 112 illus. in color, digital)
451b
SpringerLink. Bücher
501
Includes bibliographical references and index
517
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.
527
Druckausg.ISBN: 978-1-461-46758-8
540a
ISBN 978-1-4614-6759-5
700
|TJFC
700
|TEC008010
700b
|621.3815
700c
|TK7888.4
750
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
012
381841014
081
Zatt, Bruno: 3D Video Coding for Embedded Devices
100
Springer E-Book
125a
Elektronischer Volltext - Campuslizenz
655e
$uhttp://dx.doi.org/10.1007/978-1-4614-6759-5
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