Abstract
The most recent video coding standard, High Efficiency Video Coding (HEVC), is able to significantly improve the compression performance at the expense of a huge computational complexity increase with respect to its predecessor, H.264/AVC. Parallel versions of the HEVC encoder may help to reduce the overall encoding time in order to make it more suitable for practical applications. In this work, we study two parallelization strategies. One of them follows a coarse-grain approach, where parallelization is based on frames, and the other one follows a fine-grain approach, where parallelization is performed at subpicture level. Two different frame-based approaches have been developed. The first one only uses MPI and the second one is a hybrid MPI/OpenMP algorithm. An exhaustive experimental test was carried out to study the performance of both approaches in order to find out the best setup in terms of parallel efficiency and coding performance. Both frame-based and subpicture-based approaches are compared under the same hardware platform. Although subpicture-based schemes provide an excellent performance with high-resolution video sequences, scalability is limited by resolution, and the coding performance worsens by increasing the number of processes. Conversely, the proposed frame-based approaches provide the best results with respect to both parallel performance (increasing scalability) and coding performance (not degrading the rate/distortion behavior).
Highlights
The Joint Collaborative Team on Video Coding (JCT-VC), composed of experts from the ISO/IECMoving Picture Experts Group (MPEG) and the ITU-T Video Coding Experts Group (VCEG), has developed the most recent video coding standard: High Efficiency Video Coding (HEVC) [1].The emergence of this new standard makes it possible to deal with current and future multimedia market trends, such as 4K- and 8K-definition video content
The results show that the parallelization of the HEVC
We study two different parallelization schemes: the first one follows a coarse-grain approach, where parallelization is based on frames, and the other one follows a fine-grain approach, focused on the parallelization at subpicture level
Summary
The Joint Collaborative Team on Video Coding (JCT-VC), composed of experts from the ISO/IEC. In [11], the authors propose a frame scanning order based on a diamond search, obtaining a good scheme for massive parallel processing. In [12], the authors propose to change the HEVC deblocking filter processing order, obtaining time savings of up to 37.93% over manycore processors, with a negligible loss in coding performance. The results show that the parallelization of the HEVC encoder using tiles outperforms the parallel version that uses slices, both in parallel efficiency and coding performance. We study two different parallelization schemes: the first one follows a coarse-grain approach, where parallelization is based on frames, and the other one follows a fine-grain approach, focused on the parallelization at subpicture level (tile-based and slice-based).
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