• DocumentCode
    2934120
  • Title

    Inter-temporal vector prediction for motion estimation in scalable video coding

  • Author

    Kamp, Steffen ; Heyden, Dominic ; Ohm, Jens-Rainer

  • Author_Institution
    RWTH Aachen Univ., Aachen
  • fYear
    2007
  • fDate
    Nov. 28 2007-Dec. 1 2007
  • Firstpage
    586
  • Lastpage
    589
  • Abstract
    Motion estimation plays an important role for the coding performance achieved in current video coding schemes. However, the computational burden of motion estimation algorithms is often high, especially if the temporal distance between pictures is large. We describe a predictive motion estimation algorithm that takes advantage of motion correlation found specifically in scalable video coding using open-loop hierarchical B pictures or motion-compensated temporal filtering. The simulation results illustrate that our proposed algorithm significantly reduces the computational complexity of motion estimation while maintaining objective and visual quality almost identical to an exhaustive full search algorithm.
  • Keywords
    computational complexity; filtering theory; motion estimation; search problems; video coding; computational complexity; intertemporal vector prediction; motion correlation; motion-compensated temporal filtering; open-loop hierarchical pictures; predictive motion estimation; search algorithm; video coding; visual quality; Computational complexity; Cost function; Distortion measurement; Filtering; Iterative algorithms; Motion compensation; Motion estimation; Signal processing algorithms; Video coding; Video sequences; Scalable video coding; hierarchical B pictures; motion estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Signal Processing and Communication Systems, 2007. ISPACS 2007. International Symposium on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-1-4244-1447-5
  • Electronic_ISBN
    978-1-4244-1447-5
  • Type

    conf

  • DOI
    10.1109/ISPACS.2007.4445955
  • Filename
    4445955