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

Alexandre Mercat, Sami Ahovainio, Jarno Vanne

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

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Abstract

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 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%.
Original languageEnglish
Title of host publication2022 IEEE International Conference on Image Processing (ICIP)
Place of PublicationBordeaux, France
PublisherIEEE
ISBN (Electronic)978-1-6654-9620-9
DOIs
Publication statusPublished - 18 Oct 2022
Publication typeA4 Article in conference proceedings
EventIEEE International Conference on Image Processing - Bordeaux, France
Duration: 16 Oct 202219 Oct 2022

Publication series

NameProceedings : International Conference on Image Processing
ISSN (Electronic)2381-8549

Conference

ConferenceIEEE International Conference on Image Processing
Country/TerritoryFrance
CityBordeaux
Period16/10/2219/10/22

Keywords

  • Computers , Image coding , Costs , Scalability , Bit rate , Benchmark testing , Encoding

Publication forum classification

  • Publication forum level 1

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