• DocumentCode
    2122439
  • Title

    Motion estimation based on Markov random fields

  • Author

    Rouchouze, B. ; Mathieu, P. ; Gaidon, T. ; Barlaud, M.

  • Author_Institution
    Nice Univ., Valbonne, France
  • Volume
    3
  • fYear
    1994
  • fDate
    13-16 Nov 1994
  • Firstpage
    270
  • Abstract
    This paper deals with a new method for estimation of motion field in image sequence coding domain. The proposed method is based on a pel-recursive technique and characterised by two fundamental points: the use of a convex function for the regularization and a deterministic relaxation algorithm for edge preserving regularization. These two points are completely new in motion estimation techniques
  • Keywords
    Markov processes; deterministic algorithms; edge detection; image coding; image sequences; maximum likelihood estimation; minimisation; motion estimation; recursive estimation; MAP; Markov random fields; convex function; deterministic relaxation algorithm; edge preserving regularization; image sequence coding domain; motion estimation; pel-recursive technique; regularization; HDTV; Image coding; Image motion analysis; Image sequences; Laboratories; Markov random fields; Motion estimation; Multimedia systems; Optical computing; Videoconference;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference
  • Conference_Location
    Austin, TX
  • Print_ISBN
    0-8186-6952-7
  • Type

    conf

  • DOI
    10.1109/ICIP.1994.413845
  • Filename
    413845
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2122439