Fast search for intra prediction mode in H.265/HEVC video compression

Maxim P. Sharabayko, Nikolay G. Markov

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Mechanical engineering, chemical engineering and other industries have a high demand for the video compression systems that are used, e.g., in CCTV and video sensing. The newest video compression standard H.265/HEVC provides the compression rate of 100-300 times to the uncompressed video. The side effect is the increase of a computational complexity of the compression system. This high complexity obstructs the industrial implementation of H.265/HEVC video compression systems. One of the main objectives is to reduce intra compression complexity. In this paper, we present our algorithm of a fast search for intra prediction mode in H.265/HEVC video compression. The algorithm on average provides only 1.9% bitrate increase with 41% timesaving.

Original languageEnglish
Title of host publicationKey Engineering Materials
PublisherTrans Tech Publications Ltd
Pages897-901
Number of pages5
Volume685
ISBN (Print)9783038357087
DOIs
Publication statusPublished - 2016
Event4th International Conference for Young Scientists High Technology: Research and Applications, HTRA 2015 - Tomsk, Russian Federation
Duration: 21 Apr 201524 Apr 2015

Publication series

NameKey Engineering Materials
Volume685
ISSN (Print)10139826

Other

Other4th International Conference for Young Scientists High Technology: Research and Applications, HTRA 2015
CountryRussian Federation
CityTomsk
Period21.4.1524.4.15

Keywords

  • Fast intra prediction search
  • H.265/HEVC
  • Video compression

ASJC Scopus subject areas

  • Materials Science(all)
  • Mechanics of Materials
  • Mechanical Engineering

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  • Cite this

    Sharabayko, M. P., & Markov, N. G. (2016). Fast search for intra prediction mode in H.265/HEVC video compression. In Key Engineering Materials (Vol. 685, pp. 897-901). (Key Engineering Materials; Vol. 685). Trans Tech Publications Ltd. https://doi.org/10.4028/www.scientific.net/KEM.685.897