By Bruno Zatt, Muhammad Shafique, Sergio Bampi, Jörg Henkel (auth.)
This ebook indicates readers how you can boost energy-efficient algorithms and architectures to permit high-definition 3D video coding on resource-constrained embedded units. clients of the Multiview Video Coding (MVC) regular face the problem of exploiting its 3D video-specific coding instruments for expanding compression potency on the price of accelerating computational complexity and, for this reason, the strength intake. This ebook permits readers to minimize the multiview video coding power intake via together contemplating the algorithmic and architectural degrees. insurance comprises an advent to 3D movies and an in depth dialogue of the present state of the art of 3D video coding, in addition to energy-efficient algorithms for 3D video coding and energy-efficient structure for 3D video coding.
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Extra resources for 3D Video Coding for Embedded Devices: Energy Efficient Algorithms and Architectures
1997) present a local memory optimization technique for embedded systems based on memory performance analytical estimation for a given application. The base architecture employs cache and a scratch-pad memories with parameters defined by the proposed technique. In Cong et al. (2009) the memory performance and energy optimization are performed through automatic memory partitioning and scheduling. Firstly, the solution considers the cycle accurate application schedule to meet the memory performance requirements.
264 standard: Baseline, Main, and Extended. The Baseline profile focuses on video calls and videoconferencing. It supports only I and P slice and the context-adaptive variable length coding (CAVLC) entropy coding method. The Main profile was designed for high-definition displaying and video broadcasting. Besides the tools defined by the Baseline profile, it also includes the support to B slices, interlaced videos, and CABAC entropy coding. The Extended profile targets video streaming on channels with high package loss and defines the SI (Switching I) and SP (Switching P) slices (Richardson 2010).
The discussions are centered on the energy consumption and encoded video quality. Chapter 3 also presents the overview of contributions presented along this monograph. For simplicity, the monograph contribution is also summarized using a highlevel diagram. In Chap. 4 all the novel energy-efficient algorithms proposed in this work are thoroughly explained. They are classified and described in three sections: coding mode decision with complexity adaptation, motion and disparity estimation, and video quality management.