A Scalable Massively Parallel Motion and Disparity Estimation Scheme for Multiview Video Coding
IEEE Trans. Circuits Syst. Video Techn.(2016)
摘要
Multiview video coding (MVC) has recently received considerable attention. It is proposed as an extension of H.264/AVC standard for multiple video source compression. To resolve the extremely high computational complexity of MVC (and in fact other advanced video coding techniques), requires development of suitable parallel algorithms that are amenable to implementation on low cost massively parallel architecture (MPA); platforms that have found a common place due to recent advances in the parallel computer architecture. The high complexity of MVC is due to its prediction structure, where motion estimation (ME) between the frames, and disparity estimation (DE) between the views, contribute to more than 99% of overall complexity of the coder. This paper presents the development and implementation of a scalable massively parallel fast search algorithm to, significantly, reduce the computational cost of ME/DE over the current best available full block matching, and sub-optimal fast search algorithms. The proposed massively parallel fast search algorithm (DZfast), when evaluated over eight views, outperforms the existing full search and fast search MVC algorithms by a factor up to 245.8 and 8.4, respectively. This speedup comes at no or minute loss in rate-distortion (RD) performance.
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关键词
—multiview,coding,gpu
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