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

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

This booklet exhibits readers the way to increase energy-efficient algorithms and architectures to permit high-definition 3D video coding on resource-constrained embedded units. clients of the Multiview Video Coding (MVC) general face the problem of exploiting its 3D video-specific coding instruments for expanding compression potency on the fee of accelerating computational complexity and, accordingly, the strength intake. This e-book allows readers to minimize the multiview video coding strength intake via together contemplating the algorithmic and architectural degrees. insurance contains an creation 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

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The mode decision (MD) module is the responsible to deal with this large optimization space. a. J cost). The objective is to evaluate the coding modes and to find the one that minimizes the RDCost to obtain the best coding relation between rate and distortion. 3) presents the J function where c and r represent the current original MB and the reconstructed one, MODE is the prediction mode used, and QP is the quantization parameter. D represents the distortion measured after the complete MB reconstruction according to a distortion metric and R is the number of bits used to encode the current MB; this number is available once the entropy encoding is completed.

Multiple reference frames and reference views: Differently from earlier standards, in MVC the past and future reference frames are not only fixed to the immediate ones. Therefore, to reconstruct one given macroblock, temporally distant frames can be used in the prediction process and this distance is limited only by the size of the decoded picture buffer (DPB) (Sullivan and Wiegand 2005). The reference frames are managed in List 0 and List 1 as previously cited. Analogously, the reference views are not restricted to the closest backward or forward views, any previously encoded views may be used as reference depending on the coding settings.

This high frame rate implies in a high redundancy or similarity between neighboring frames in the time axis. 13, frames S0T0 and S0T1 are very similar; hence only the differences between them have to be transmitted. The algorithm that exploits these inter-frame similarities is the motion estimation (ME). 14), the region that represents the best match for the current block or macroblock. 14, is generated. 13), there is no motion between T0 and T1, so the motion vector m2 is probably zero. The dancers moving (woman’s face in the yellow box) present a displacement along the time; this displacement is represented by m1.

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