• DocumentCode
    1749892
  • Title

    Median filtering-based pyramidal motion vector estimation

  • Author

    Zan, Jinwen ; Ahmad, M. Omair ; Swamy, M.N.S.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Concordia Univ., Montreal, Que., Canada
  • Volume
    3
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    1605
  • Abstract
    A median filtering-based hierarchical motion vector estimation scheme making use of a pyramidal data structure is proposed. Compared to the conventional hierarchical motion vector estimation schemes, the proposed scheme overcomes the problem of propagation of false motion vectors across resolutions. Simulation studies show that the proposed scheme not only improves the prediction accuracy with respect to the prediction mean square error, but also results in a smoother motion field, which can be encoded with less number of coding bits. It is shown that an improvement in the rate distortion performance is achieved with little increase in the computational complexity. It is also shown that Burt and Adelson´s (1983) pyramidal data structure provides the best performance among a number of the generating kernels considered in our study
  • Keywords
    computational complexity; data compression; data structures; median filters; motion estimation; rate distortion theory; video coding; computational complexity; generating kernels; hierarchical motion vector estimation; median filtering; prediction accuracy; prediction mean square error; pyramidal data structure; rate distortion performance; video compression; Computational complexity; Data structures; Filtering; Image resolution; Kernel; Mean square error methods; Motion estimation; Predictive models; Rate-distortion; Video compression;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on
  • Conference_Location
    Salt Lake City, UT
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-7041-4
  • Type

    conf

  • DOI
    10.1109/ICASSP.2001.941242
  • Filename
    941242