• DocumentCode
    610033
  • Title

    Low Complexity Rate Distortion Optimization for HEVC

  • Author

    Siwei Ma ; Shiqi Wang ; Shanshe Wang ; Liang Zhao ; Qin Yu ; Wen Gao

  • Author_Institution
    Inst. of Digital Media, Peking Univ., Beijing, China
  • fYear
    2013
  • fDate
    20-22 March 2013
  • Firstpage
    73
  • Lastpage
    82
  • Abstract
    The emerging High Efficiency Video Coding (HEVC) standard has improved the coding efficiency drastically, and can provide equivalent subjective quality with more than 50% bit rate reduction compared to its predecessor H.264/AVC. As expected, the improvement on coding efficiency is obtained at the expense of more intensive computation complexity. In this paper, based on an overall analysis of computation complexity in HEVC encoder, a low complexity rate distortion optimization (RDO) coding scheme is proposed by reducing the number of available candidates for evaluation in terms of the intra prediction mode decision, reference frame selection and CU splitting. With the proposed scheme, the RDO technique of HEVC can be implemented in a low-complexity way for complexity-constrained encoders. Experimental results demonstrate that, compared with the original HEVC reference encoder implementation, the proposed algorithms can achieve about 30% reduced encoding time on average with ignorable coding performance degradation (0.8%).
  • Keywords
    computational complexity; optimisation; video coding; HEVC standard; RDO coding scheme; bit rate reduction; coding efficiency; computation complexity; equivalent subjective quality; high efficiency video coding; intraprediction mode decision; low complexity rate distortion optimization; rate distortion optimization; reference frame selection; Algorithm design and analysis; Complexity theory; Encoding; Motion estimation; Prediction algorithms; Transforms; Video coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Compression Conference (DCC), 2013
  • Conference_Location
    Snowbird, UT
  • ISSN
    1068-0314
  • Print_ISBN
    978-1-4673-6037-1
  • Type

    conf

  • DOI
    10.1109/DCC.2013.15
  • Filename
    6543043