3D Video Coding for Embedded Devices: Energy Efficient Algorithms and Architectures

Author:   Bruno Zatt ,  Muhammad Shafique ,  Sergio Bampi ,  Jörg Henkel
Publisher:   Springer-Verlag New York Inc.
Edition:   2013 ed.
ISBN:  

9781461467588


Pages:   204
Publication Date:   30 April 2013
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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3D Video Coding for Embedded Devices: Energy Efficient Algorithms and Architectures


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Overview

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.

Full Product Details

Author:   Bruno Zatt ,  Muhammad Shafique ,  Sergio Bampi ,  Jörg Henkel
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   2013 ed.
Dimensions:   Width: 15.50cm , Height: 1.80cm , Length: 23.50cm
Weight:   4.616kg
ISBN:  

9781461467588


ISBN 10:   1461467586
Pages:   204
Publication Date:   30 April 2013
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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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.

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