Vlsi Design For Video Coding
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VLSI Design for Video Coding
Author: Youn-Long Steve Lin
language: en
Publisher: Springer Science & Business Media
Release Date: 2009-12-29
High definition video requires substantial compression in order to be transmitted or stored economically. Advances in video coding standards from MPEG-1, MPEG-2, MPEG-4 to H.264/AVC have provided ever increasing coding efficiency, at the expense of great computational complexity which can only be delivered through massively parallel processing. This book will present VLSI architectural design and chip implementation for high definition H.264/AVC video encoding, using a state-of-the-art video application, with complete VLSI prototype, via FPGA/ASIC. It will serve as an invaluable reference for anyone interested in VLSI design and high-level (EDA) synthesis for video.
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.
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.