• DocumentCode
    548531
  • Title

    Research of video coding parameters based on fuzzy measure

  • Author

    Xin-xin, Wang ; Liang-bao, Jiao ; Rui, Chen ; Xue-hong, Cao

  • Author_Institution
    Sch. of Telecommun. & Inf. Eng., Nanjing Univ. of Posts & Telecommun., Nanjing, China
  • fYear
    2011
  • fDate
    21-23 June 2011
  • Firstpage
    243
  • Lastpage
    246
  • Abstract
    Video coding performance relies on the coding parameters setting, yet at present there is lack of a quantitative description about how coding parameters and the interrelationship between the parameters affect the coding performance. So, this paper chooses some key parameters for H.264 standard, then defines rate-distortion cost function J as the measure of performance, analyses different combinations of these coding parameters, and determines how the combinations affect the coding performance by the method of fuzzy measure. The test result shows that Quantitative Parameter (QP) has the greatest influences on coding performance among these parameters.
  • Keywords
    fuzzy set theory; rate distortion theory; video coding; H.264 standard; coding performance; fuzzy measure; quantitative parameter; rate-distortion cost function; video coding parameters; Additives; Cost function; Encoding; IP networks; PSNR; Radio frequency; Testing; Quantitative Parameter; fuzzy measure; video encode;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networked Computing and Advanced Information Management (NCM), 2011 7th International Conference on
  • Conference_Location
    Gyeongju
  • Print_ISBN
    978-1-4577-0185-6
  • Electronic_ISBN
    978-89-88678-37-4
  • Type

    conf

  • Filename
    5967553