3d Video Coding For Embedded Devices
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3D Video Coding for Embedded Devices
Author: Bruno Zatt
language: en
Publisher: Springer Science & Business Media
Release Date: 2014-07-08
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.
Hardware Design for 3D Video Coding
This book focuses on the research and development challenges posed by 3D video systems based on multi-view plus depth (MVD) technology. This technology can produce a realistic immersive experience generating synthetic video views on the decoder side, reducing the amount of information on the encoder side. The discussion presented in this book explores the MVD characteristics to propose high-throughput and energy-efficient architectures/systems, focusing on 3D-HEVC, the state-of-the-art standard for exploiting the MVD concept. The book includes an extensive discussion of the 3D-HEVC video encoding, followed by an in-depth evaluation of the 3D-HEVC reference software behavior. Then, the book presents in detail a set of high-throughput and energy-efficient architectures targeting the three main prediction steps inside the 3D-HEVC: intra-frame prediction, inter-frame prediction, and inter-view prediction.
Hardware/Software Architectures for Low-Power Embedded Multimedia Systems
Author: Muhammad Shafique
language: en
Publisher: Springer Science & Business Media
Release Date: 2011-07-25
This book presents techniques for energy reduction in adaptive embedded multimedia systems, based on dynamically reconfigurable processors. The approach described will enable designers to meet performance/area constraints, while minimizing video quality degradation, under various, run-time scenarios. Emphasis is placed on implementing power/energy reduction at various abstraction levels. To enable this, novel techniques for adaptive energy management at both processor architecture and application architecture levels are presented, such that both hardware and software adapt together, minimizing overall energy consumption under unpredictable, design-/compile-time scenarios.