• DocumentCode
    2608843
  • Title

    Estimating the Optimal Quantization Parameter in H.264

  • Author

    Czuni, László ; Császár, Gergely ; Licsár, Attila

  • Author_Institution
    Pannon Univ., Veszprem
  • Volume
    4
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    330
  • Lastpage
    333
  • Abstract
    The quantization parameter (QP) has a very important impact on the compression rate in H.264. In this paper we show that in order to achieve efficient rate-control coding a good estimate for the initial QP parameter is necessary. An extensive altering of this value, to keep the required titrate, results in significant fluctuation of the image quality and decreases the average quality of the whole coded sequence. We propose a simple and fast method to decide the starting value for QP for each part of the video sequence. Experimental results show stabilized image quality and significant gain in PSNR
  • Keywords
    data compression; estimation theory; image coding; image sequences; quantisation (signal); H.264 compression; coded sequence; image quality; optimal quantization parameter; rate-control coding; video sequence; Bit rate; Fluctuations; Image coding; Image quality; PSNR; Quadratic programming; Quantization; Software testing; Standards development; Video sequences;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-2521-0
  • Type

    conf

  • DOI
    10.1109/ICPR.2006.502
  • Filename
    1699847