• DocumentCode
    1815733
  • Title

    Novel Fast Mode Decision Algorithm for P-Slices in H.264/AVC

  • Author

    Chang, Kan ; Yang, Bo ; Zhang, Wenhao

  • Author_Institution
    Sch. of Inf. & Commun. Eng., Beijing Univ. of Posts & Telecommun., Beijing, China
  • Volume
    1
  • fYear
    2009
  • fDate
    18-20 Aug. 2009
  • Firstpage
    189
  • Lastpage
    193
  • Abstract
    H.264/AVC encoder complexity is remarkable mainly due to variable block size motion estimation (ME) and exhaustive rate distortion optimization (RDO). This makes real-time video coding very difficult. In this paper, a novel fast mode decision algorithm for P-slices is presented to reduce the computational load. Based on the temporal and spatial correlation between macroblocks, a four paths prediction structure is proposed with flexible early termination strategy. Experiment results show that with this algorithm, 42%-65% encoding time can be saved with a negligible loss in peak signal-to-noise ratio (PSNR) and very little increment in bit rate. Combined with Choi´s method, our algorithm can achieve a time reduction up to 74.31% with little loss in coding efficiency.
  • Keywords
    code standards; correlation methods; motion estimation; rate distortion theory; video coding; H.264-AVC encoder complexity; P-slices; coding efficiency; exhaustive rate distortion optimization; fast mode decision algorithm; peak signal-to-noise ratio; real-time video coding; spatial correlation; temporal correlation; variable block size motion estimation; Automatic voltage control; Encoding; IEC standards; ISO standards; Motion compensation; Motion estimation; PSNR; Rate-distortion; Video coding; Video sequences; H.264/AVC; early termination; fast mode decision; temporal-spatial correlation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Assurance and Security, 2009. IAS '09. Fifth International Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-0-7695-3744-3
  • Type

    conf

  • DOI
    10.1109/IAS.2009.198
  • Filename
    5283853