Download 3D Video Coding for Embedded Devices: Energy Efficient by Bruno Zatt, Muhammad Shafique, Sergio Bampi, Jörg Henkel PDF

By Bruno Zatt, Muhammad Shafique, Sergio Bampi, Jörg Henkel (auth.)

ISBN-10: 1461467586

ISBN-13: 9781461467588

ISBN-10: 1461467594

ISBN-13: 9781461467595

This publication indicates readers the way to advance energy-efficient algorithms and architectures to allow high-definition 3D video coding on resource-constrained embedded units. clients of the Multiview Video Coding (MVC) average face the problem of exploiting its 3D video-specific coding instruments for expanding compression potency on the price of accelerating computational complexity and, as a result, the strength intake. This e-book permits readers to lessen the multiview video coding power intake via together contemplating the algorithmic and architectural degrees. assurance contains 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 info for 3D Video Coding for Embedded Devices: Energy Efficient Algorithms and Architectures

Sample text

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).

However, when considering a single application for a given description, in this case real-time encoding for MVC HD1080p, the profit of this adaptive behavior is not perceived. Moreover, in this scenario, the energy and time costs for reconfiguration pose additional difficulties in terms of throughput and energy efficiency if compared to processors, DSPs, and ASIPs. 3 Application-Specific Integrated Circuits Multiple ASIC hardware architectures were proposed targeting real-time high-­ definition (de)coding in accordance to the latest video coding standards trying to reduce the total energy consumption for embedded devices.

1 2D/3D Digital Videos A video is formed by a sequence of frames (or pictures) of a scene captured in a given frame rate providing to the spectator the sense of motion. Usually, the frame rate goes from 15 to 60 frames per second (fps) depending on the application requirements. , pixels. , the number of horizontal and vertical pixel lines. The typical resolutions also depend on the target application. For instance, mobile devices use to handle relatively lower resolution and lower frame rate sequences if compared to home cinema that targets high resolution and high frame rates.

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3D Video Coding for Embedded Devices: Energy Efficient Algorithms and Architectures by Bruno Zatt, Muhammad Shafique, Sergio Bampi, Jörg Henkel (auth.)


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