
3D Video Coding for Embedded Devices
Energy Efficient Algorithms and Architectures
Springer (Publisher)
Published on 23. August 2016
Book
Paperback/Softback
XIX, 204 pages
978-1-4939-5508-4 (ISBN)
Description
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.
More details
Edition
Softcover reprint of the original 1st ed. 2013
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
Illustrations
14 s/w Abbildungen, 112 farbige Abbildungen
XIX, 204 p. 126 illus., 112 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 13 mm
Weight
347 gr
ISBN-13
978-1-4939-5508-4 (9781493955084)
DOI
10.1007/978-1-4614-6759-5
Schweitzer Classification
Other editions
Additional editions

Bruno Zatt | Muhammad Shafique | Sergio Bampi
3D Video Coding for Embedded Devices
Energy Efficient Algorithms and Architectures
Book
04/2013
Springer
€106.99
Shipment within 15-20 days
Persons
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.
Content
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.