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Spatio-Temporal Parallelization Scheme for HEVC Encoding on Multi-Computer Systems
High Efficiency Video Coding (HEVC) sets the scene for economic video transmission and storage, but its inherent computational complexity calls for efficient parallelization techniques. This paper introduces and compares three different parallelization strategies for HEVC encoding on multi-computer systems: 1) spatial parallelization scheme, where input video frames are divided into slices and distributed among available computers; 2) temporal parallelization scheme, where input video is distributed among computers in groups of consecutive frames; 3) spatio-temporal parallelization scheme that combines the proposed spatial and temporal approaches. All these three schemes were benchmarked as part of the practical Kvazaar open-source HEVC encoder. Our experimental results on 2β5 computer configurations show that using the spatial scheme gives 1.65Γβ2.90Γ speedup at the cost of 4.16%β13.09% bitrate loss over a single-computer setup. The respective speedup with temporal parallelization is 1.86Γβ3.26Γ without any coding overhead. The spatio-temporal scheme with 2 slices was shown to offer the best load-balancing with 1.81Γβ3.55Γ speedups and a constant coding loss of 4.16%.acceptedVersionPeer reviewe