• DocumentCode
    729968
  • Title

    Adaptive PU mode estimation algorithm for HEVC encoder

  • Author

    Dong-Hyeok Kim ; Yong-Hwan Kim ; Woo-Chool Park

  • Author_Institution
    Multimedia IP Res. Center, Korea Electron. Technol. Inst., Seongnam, South Korea
  • fYear
    2015
  • fDate
    24-26 June 2015
  • Firstpage
    1
  • Lastpage
    2
  • Abstract
    In this paper, adaptive PU mode estimation algorithm is proposed to achieve a fast High Efficiency Video Coding (HEVC) encoding. According to HEVC standard, a picture is composed of a number of Coding Tree Units (CTU´s). These CTUs are further divided in quadtree structure to form Coding Units (CUs), and CUs have one or more Prediction Units (PUs). The PU mode decision processing to find a best PU mode has the most computational complexity. To reduce the computational complexity, the proposed algorithm can skip checking of both symmetric and asymmetric PU partition sizes using best PU information (i.e., partition size and mode) of temporally co-located CUs. Experimental results show that the proposed algorithm using HM 16.2 achieves an average 30% reduction in encoding time for random access configuration, with a Y BD-rate loss of 0.58%.
  • Keywords
    adaptive estimation; computational complexity; prediction theory; quadtrees; video codecs; video coding; CTU; HEVC encoder; HEVC encoding; HEVC standard; HM 16.2; PU information; PU mode decision processing; Y BD-rate loss; adaptive PU mode estimation algorithm; asymmetric PU partition sizes; coding tree units; computational complexity; high efficiency video coding; prediction units; quadtree structure; Algorithm design and analysis; Computational complexity; Encoding; Estimation; Partitioning algorithms; Standards; Video coding; High Efficiency Video Coding (HEVC); Inter-prediction; Prediction Unit (PU);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Electronics (ISCE), 2015 IEEE International Symposium on
  • Conference_Location
    Madrid
  • Type

    conf

  • DOI
    10.1109/ISCE.2015.7177796
  • Filename
    7177796