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

Bruno Zatt

ISBN 10: 149395508X / ISBN 13: 9781493955084

Published by Springer New York, Springer US, 2016

About this Item

Druck auf Anfrage Neuware - Printed after ordering - 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.

Seller Inventory # 9781493955084

Bibliographic Details

• Title: 3D Video Coding for Embedded Devices : Energy Efficient Algorithms and Architectures
• Publisher: Springer New York, Springer US
• Publication Date: 2016
• Language: English
• ISBN 10: 149395508X
• ISBN 13: 9781493955084
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 13D millimeters 235 millimeters width by 155 millimeters height by 13 millimeters depth
• Weight: 347 grams

About this title

Synopsis

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.

About the Author

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.