• DocumentCode
    2637859
  • Title

    Dense motion field reduction for motion estimation

  • Author

    Deever, Aaron ; Hemami, Sheila S.

  • Author_Institution
    Center for Appl. Math., Cornell Univ., Ithaca, NY, USA
  • Volume
    2
  • fYear
    1998
  • fDate
    1-4 Nov. 1998
  • Firstpage
    944
  • Abstract
    A new approach to motion estimation/compensation is presented that uses a morphological pyramidal representation of a dense motion field. The dense field is reduced and coded in a rate-distortion-optimized fashion, in that the compensated frame produced by the encoded motion for a given number of bits minimizes the energy of the residual frame. Relative to standard block-based techniques, the resulting compensated frames are of higher quality while the motion provides a better representation of "true" motion. Additionally, the motion representation delineates objects well. As such, this technique is useful in low-rate applications and in forthcoming object-based techniques.
  • Keywords
    image representation; mathematical morphology; motion compensation; motion estimation; rate distortion theory; video coding; compensated frames; dense motion field reduction; encoded motion; low-rate applications; morphological pyramidal representation; motion compensation; motion estimation; motion representation; object-based techniques; rate-distortion optimisation; residual frame; video compression; Image motion analysis; Layout; Mathematics; Maximum likelihood detection; Motion compensation; Motion estimation; Nonlinear filters; Optical filters; Sampling methods; Video compression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems & Computers, 1998. Conference Record of the Thirty-Second Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA, USA
  • ISSN
    1058-6393
  • Print_ISBN
    0-7803-5148-7
  • Type

    conf

  • DOI
    10.1109/ACSSC.1998.751402
  • Filename
    751402