By Bruno Zatt, Muhammad Shafique, Sergio Bampi, Jörg Henkel (auth.)
This ebook indicates readers how one can increase energy-efficient algorithms and architectures to allow high-definition 3D video coding on resource-constrained embedded units. clients of the Multiview Video Coding (MVC) common face the problem of exploiting its 3D video-specific coding instruments for expanding compression potency on the rate of accelerating computational complexity and, hence, the strength intake. This ebook permits readers to minimize the multiview video coding strength intake via together contemplating the algorithmic and architectural degrees. assurance 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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Additional info for 3D Video Coding for Embedded Devices: Energy Efficient Algorithms and Architectures
The first personal camcorder to fully support stereo MVC was released by Sony in 2011. Although 3D-capable mobile devices are already available, attending MVC performance and energy constraints remains a big challenge for industry and academia, as discussed in Sect. 2. The current multimedia processing systems based on processors, DSPs, and non-MVC-optimized application-specific integrated circuits (ASIC) implementations are not efficient to provide the required throughput with the required energy efficiency while sustaining video quality and coding efficiency.
Note that all these tools are mandatory at the decoder side depending upon the operation profile but are optional for the encoder. Bi-prediction: In MVC, two types of MBs employ the ME/DE: Predictive (P), which is coded using inter-frame prediction referencing only past frames and backward views, in display order, or bi-predictive (B), which is coded using reference frames both from past/backward and from future/forward (this is possible due to the out-of-order coding and decoding allowed by the standard).
2). However, no tool is able to exploit this correlation at the coding information level. 4, frames T7S1 (view 1, time 7) and T7S2 (view 2, time 7), the same objects are present in the neighboring views displaced by the so-called disparity vector. Since they are the same objects, the same image properties are shared and similar coding information tends to be used in different views. The disparity neighborhood correlation is lost when a given object is out of the area captured by a given camera or there is an object occlusion for a given camera point of view.
3D Video Coding for Embedded Devices: Energy Efficient Algorithms and Architectures by Bruno Zatt, Muhammad Shafique, Sergio Bampi, Jörg Henkel (auth.)