• DocumentCode
    2113012
  • Title

    Discrete-cosine/sine-transform based motion estimation

  • Author

    Ut-Va Koc ; Liu, K.J.R.

  • Author_Institution
    Dept. of Electr. Eng., Maryland Univ., College Park, MD, USA
  • Volume
    3
  • fYear
    1994
  • fDate
    13-16 Nov. 1994
  • Firstpage
    771
  • Abstract
    A new motion estimation scheme, discrete-cosine/sine-transform based motion estimation (DXT-ME) utilizing the principle of orthogonality of cosine and sine functions to estimate, in the transform domain, displacements from the motion information contained in the pseudo-phases of the images of moving objects, is proposed. The computational complexity of this method is only O(N2)+Odct for an image of size N×N in comparison to O(N4), the complexity of the full search block matching approach, where Odct is the complexity of DCT/DST coding. Furthermore, incorporation of DXT-ME with DCT-based video standards achieves further savings of computations and makes symmetric codecs feasible. Unlike the pel-recursive algorithm, this scheme is not susceptible to noise. For complicated scenery or large moving objects, simple preprocessing is performed on images to extract the features of moving objects before applying DXT-ME. Simulation on some video sequences is presented to compare this scheme with the block matching method.
  • Keywords
    computational complexity; discrete cosine transforms; image sequences; motion estimation; transform coding; video coding; DCT-based video standards; DXT-ME; computational complexity; cosine functions; discrete-cosine/sine-transform based motion estimation; moving objects; orthogonality; pseudo-phase; sine functions; symmetric codecs; transform domain; video sequences; Code standards; Codecs; Computational complexity; Computational modeling; Discrete cosine transforms; Discrete transforms; Feature extraction; Image coding; Motion estimation; Video sequences;
  • 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.1994.413784
  • Filename
    413784