• DocumentCode
    2577347
  • Title

    A Cauchy-density-based rate controller for H.264/AVC in low-delay environments

  • Author

    Del-Ama-Esteban, Óscar ; Sanz-Rodríguez, Sergio ; De-Frutos-López, Manuel ; Díaz-de-María, Fernando

  • Author_Institution
    Dept. of Signal Theor. & Commun., Univ. Carlos III, Leganes, Spain
  • fYear
    2009
  • fDate
    6-8 May 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The accuracy of the Cauchy probability density function for modeling of the discrete cosine transform coefficient distribution has already been proved for the frame layer of the rate control subsystem of a hybrid video coder. Nevertheless, in some specific applications operating in real-time low-delay environments, a basic unit layer is recommended in order to provide a good trade-off between quality and delay control. In this paper, a novel basic unit bit allocation for H.264/AVC is proposed based on a simplified Cauchy probability density function source modeling. The experimental results show that the proposed algorithm improves the average peak signal-to-noise ratio in 0.28 and 0.35 dB with respect to two well-known rate control schemes, while maintaining similar peak signal-to-noise ratio standard deviation and buffer occupancy evolution.
  • Keywords
    discrete cosine transforms; probability; video coding; Cauchy probability density function source modeling; Cauchy-density-based rate controller; H.264/AVC; basic unit bit allocation; buffer occupancy evolution; discrete cosine transform coefficient distribution; hybrid video coder; peak signal-to-noise ratio standard deviation; Automatic voltage control; Bit rate; Communication system control; Delay; Discrete cosine transforms; Laplace equations; PSNR; Probability density function; Radio control; Video coding; H.264; basic unit; bit allocation; low-delay; rate control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Picture Coding Symposium, 2009. PCS 2009
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    978-1-4244-4593-6
  • Electronic_ISBN
    978-1-4244-4594-3
  • Type

    conf

  • DOI
    10.1109/PCS.2009.5167438
  • Filename
    5167438