• DocumentCode
    1536001
  • Title

    SATD-Based Intra Mode Decision for H.264/AVC Video Coding

  • Author

    Lee, Yu-Ming ; Sun, Yu-Ting ; Lin, Yinyi

  • Author_Institution
    Dept. of Commun. Eng., Nat. Central Univ., Jungli, Taiwan
  • Volume
    20
  • Issue
    3
  • fYear
    2010
  • fDate
    3/1/2010 12:00:00 AM
  • Firstpage
    463
  • Lastpage
    469
  • Abstract
    In this letter, a rate estimation technique using transform coefficient variance is proposed in the rate-distortion cost function for intra mode decision. The new cost function achieves better coding performance than the cost function using the ??-domain model. The new cost function brings out an average speed-up factor of 13 when compared with the rate-distortion optimization (RDO) mode decision, but with considerable degradation in rate-distortion performance. To improve the coding performance, we propose a sum of the absolute transformed differences (SATD)-based mode decision algorithm, which incorporates both SATD and the variance information into the RDO mode decision method. The results show that the SATD-based mode decision scheme can achieve a significant improvement in computation (with 21% of total encoding time, or a speed-up factor of 5) with negligible peak signal-to-noise ratio loss. The proposed algorithm is also compared with two other distinct algorithms , and the results indicate that the proposed algorithm outperforms these two edge detection algorithms in coding performance, as well as time saving.
  • Keywords
    edge detection; encoding; optimisation; rate distortion theory; video coding; ??-domain model; H.264/AVC video coding; SATD based intra mode decision; absolute transformed differences; edge detection algorithms; rate estimation; rate-distortion optimization; total encoding time; transform coefficient variance; ${rho }$-domain model; h264/AVC; intra mode decision; rate-distortion cost function; rate-distortion optimization (RDO);
  • fLanguage
    English
  • Journal_Title
    Circuits and Systems for Video Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1051-8215
  • Type

    jour

  • DOI
    10.1109/TCSVT.2009.2035853
  • Filename
    5308396