• DocumentCode
    597970
  • Title

    Joint rate allocation for statistical multiplexing of SVC

  • Author

    Wei Yao ; Lap-Pui Chau ; Rahardja, Susanto

  • Author_Institution
    Signal Process. Dept., Inst. for Infocomm Res., Singapore, Singapore
  • fYear
    2012
  • fDate
    Sept. 30 2012-Oct. 3 2012
  • Firstpage
    725
  • Lastpage
    728
  • Abstract
    This paper presents a joint rate allocation scheme for statistical multiplexing of multiprogram video coding in broadcasting systems. The scheme is based on a scalable video coding (SVC) platform that does not require computationally expensive re-encoding or transcoding to adjust the bit-rate of each video program. A piecewise linear model is used to estimate the rate-distortion relationship in SVC enhancement layers. Based on the model, a joint rate allocation scheme is developed to dynamically allocate the available bandwidth by taking into consideration both inter-program fairness and intraprogram smoothness constraints. Experiments have been carried out to compare the performance of existing methods with our proposed scheme. Results demonstrate that the proposed scheme achieves a fine balance in picture quality across all statistical multiplexed programs as well as within each program.
  • Keywords
    broadcasting; image enhancement; piecewise linear techniques; statistical multiplexing; transcoding; video coding; SVC enhancement layers; broadcasting systems; computationally expensive reencoding; computationally expensive transcoding; interprogram fairness; joint rate allocation scheme; multiprogram video coding; picture quality; piecewise linear model; program smoothness constraints; rate-distortion relationship; scalable video coding platform; statistical multiplexed programs; statistical multiplexing; video program; Bandwidth; Encoding; Joints; Multiplexing; Resource management; Static VAr compensators; Video coding; Joint rate allocation; Scalable video coding; Statistical multiplexing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2012 19th IEEE International Conference on
  • Conference_Location
    Orlando, FL
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4673-2534-9
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2012.6466962
  • Filename
    6466962