Parallel strategies analysis over the HEVC encoder

Piñol, Pablo; Migallón, Héctor; López-Granado, Otoniel; Malumbres, Manuel P.

doi:10.1007/s11227-014-1121-1

Cited by 10 publications

(3 citation statements)

References 8 publications

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“…Table 1 characterizes the existing parallelization approaches for HEVC and AVC. In [6]- [8], process level parallelization was implemented by distributing the video temporally to different encoder instances in group of pictures (GOPs). Thread level parallelization was achieved with tiles and slices in [9], [10].…”

Section: Introductionmentioning

confidence: 99%

Spatio-Temporal Parallelization Scheme for HEVC Encoding on Multi-Computer Systems

Mercat

Ahovainio

Vanne

2022

2022 IEEE International Conference on Image Processing (ICIP)

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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) spatiotemporal parallelization scheme that combines the proposed spatial and temporal approaches. All these three schemes were benchmarked as part of the practical Kvazaar opensource HEVC encoder. Our experimental results on 2-5 computer configurations show that using the spatial scheme gives 1.65×-2.90× speedup at the cost of 4.16%-13.09% bitrate loss over a single-computer setup. The respective speedup with temporal parallelization is 1.86×-3.26× without any coding overhead. The spatio-temporal scheme with 2 slices was shown to offer the best load-balancing with 1.81×-3.55× speedups and a constant coding loss of 4.16%.

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Section: Introductionmentioning

confidence: 99%

Spatio-Temporal Parallelization Scheme for HEVC Encoding on Multi-Computer Systems

Mercat

Ahovainio

Vanne

2022

2022 IEEE International Conference on Image Processing (ICIP)

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“…So ME acceleration in HEVC is in the highest priority. [2]- [4] presented some parallel motion estimation algorithm to speed up HEVC encoder. X.W.…”

Section: Introductionmentioning

confidence: 99%

“…Jiang et al exploited a multistep composite method for integer motion estimation and eliminating redundancies for fractional motion estimation [3]. P.Pinol et al presented a GOP-based approaches which is suitable on multicore platform, and several groups of frames can be encoded parallelly in the low-delay condition [4]. However, the primary issue for frame-level parallelism, slicelevel parallelism and CTU-level parallelism is to ensure the prediction motion center.…”

Section: Introductionmentioning

confidence: 99%

Temporal prediction improvement for parallel processing of HEVC

Jiang

Song

Satō

et al. 2014

2014 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS)

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The novel coding standard high efficiency video coding (HEVC) is based on a block-based hybrid coding architecture. Parallel processing is important tool to accelerate both on the encoder and decoder side. Advanced motion vector prediction (AMVP) is an efficient inter prediction tool in HEVC. However, neighbor block dependence in AMVP coding is major barrier for parallel processing. In this work, focusing on the parallel processing ability in HEVC, a parallel temporal prediction algorithm is proposed that make the encoder decide the temporal candidate once in a larger coding unit for all the sub-units. Experimental results demonstrate that the proposed algorithm realize parallel temporal prediction candidate with only 0.11% BD-rate loss, compared with the reference software model.

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