• DocumentCode
    3051776
  • Title

    Code performance improvement scheme for X264 based on SSIM

  • Author

    Weilin Wu ; Xingming Zhang

  • Author_Institution
    Dept. of Comput. Sci., South China Univ. of Technol., Guangzhou, China
  • fYear
    2012
  • fDate
    21-23 Sept. 2012
  • Firstpage
    396
  • Lastpage
    400
  • Abstract
    X264 takes objective metric as distortion criteria to perform Rate Distortion Optimization (RDO)-based mode decision, which cannot acquire optimal subjective quality. This paper applies Structural Similarity (SSIM) based subjective distortion to RDO-based inter mode decision in X264 video coding, and puts forward a method of adaptive analysis of Lagrange multipliers to measure the relation of rate and SSIM in macro-block level. We also take motion vector of macro-block into account and apply methods of information theory, combined with the uncertainty of visual speed perception, to make further improvements of lagrange multiplier. Our experiments show that this correct solution gets a better subjective rate-distortion performance and subjective image quality.
  • Keywords
    rate distortion theory; video coding; Lagrange multipliers; RDO-based inter mode decision; X264 video coding; adaptive analysis; code performance improvement scheme; image quality; information theory; lagrange multiplier; rate distortion optimization; structural similarity; Bit rate; Distortion measurement; Encoding; Optimization; Rate-distortion; Vectors; Visualization; Lagrange multiplier; Rate-distortion optimization; Structural similarity; X264 coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Network Infrastructure and Digital Content (IC-NIDC), 2012 3rd IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4673-2201-0
  • Type

    conf

  • DOI
    10.1109/ICNIDC.2012.6418782
  • Filename
    6418782