• DocumentCode
    2828672
  • Title

    Dynamic resource allocation via video content and short-term traffic statistics

  • Author

    Wu, Min ; Joyce, Robert A. ; Kung, S.-Y.

  • Author_Institution
    Dept. of Electr. Eng., Princeton Univ., NJ, USA
  • Volume
    3
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    58
  • Abstract
    Dynamic resource allocation is critical in the transmission of VBR video. Our study shows that content is one of the major factors that controls the bandwidth of the video bit-stream, yet content alone may not be sufficient in predicting future traffic and in determining how much resource to request. A new framework of traffic prediction is proposed, taking into account both content features and available short-term bandwidth statistics
  • Keywords
    bandlimited communication; bandwidth allocation; digital communication; neural nets; statistical analysis; telecommunication computing; telecommunication traffic; visual communication; VBR video transmission; bandwidth control; bandwidth-limited shared networks; content features; digital video transmission; dynamic resource allocation; neural network-based traffic prediction; short-term bandwidth statistics; short-term traffic statistics; video bit-stream; video content; Bandwidth; Communication system traffic control; Computer network management; Resource management; Statistics; Streaming media; Telecommunication traffic; Traffic control; Video compression; Video sharing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2000. Proceedings. 2000 International Conference on
  • Conference_Location
    Vancouver, BC
  • ISSN
    1522-4880
  • Print_ISBN
    0-7803-6297-7
  • Type

    conf

  • DOI
    10.1109/ICIP.2000.899290
  • Filename
    899290