• DocumentCode
    2455168
  • Title

    Prediction of High Resolution Data from a Coded Low Resolution Grid within the Context of SVC

  • Author

    Segall, Andrew

  • Author_Institution
    Sharp Labs. of America, Camas, WA
  • fYear
    2006
  • fDate
    Oct. 29 2006-Nov. 1 2006
  • Firstpage
    396
  • Lastpage
    400
  • Abstract
    The joint video team is currently involved in a standardization effort to extend the AVC/H.264 video coding standard to support spatial scalability. The current system utilizes a pyramidal coding framework, where higher spatial resolutions are predicted from lower spatial resolutions and subsequently refined with an enhancement bit-stream. In this paper, the author considers the problem of mapping the lower resolution data to the higher resolution grid. The overall design methodology of the standardization project is described and an optimal method for filter design is considered.
  • Keywords
    image resolution; standardisation; video coding; AVC/H.264 video coding standard; SVC; filter design; high resolution data; low resolution grid; scalable video coding; spatial resolutions; spatial scalability; Automatic voltage control; Code standards; Design methodology; Displays; Scalability; Spatial resolution; Standardization; Static VAr compensators; Video coding; Video sequences;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers, 2006. ACSSC '06. Fortieth Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA
  • ISSN
    1058-6393
  • Print_ISBN
    1-4244-0784-2
  • Electronic_ISBN
    1058-6393
  • Type

    conf

  • DOI
    10.1109/ACSSC.2006.354776
  • Filename
    4176586