• DocumentCode
    1570495
  • Title

    An Efficient and Low-Delay Mctf Partitioning

  • Author

    Xu, Lie ; Kumar, Sudhakar

  • Author_Institution
    Omneon Video Networks, Beaverton, OR, USA
  • fYear
    2006
  • Firstpage
    1901
  • Lastpage
    1904
  • Abstract
    In this paper, we compute the residual energy of predictive frames (i.e., unidirectional and bidirectional motion prediction) by using the autocorrelation between successive video frames at different frame lags (or prediction terms). A new low-delay motion compensated temporal filtering (MCTF) structure is proposed based on the residual energy computations, which outperforms the `low-delay MCTF´ scheme suggested in the joint scalable video model (JSVM) in terms of delay, number of badly matched blocks and PSNR performance. The PSNR performance of the proposed scheme is only slightly lower than the `conventional 5/3 MCTF´ scheme. This scheme can also be used with other types of wavelet filters (e.g., Haar) and can substitute the MCTF in 3D wavelet-based video codecs to achieve low delay with only minor reduction in coding efficiency.
  • Keywords
    correlation methods; filtering theory; motion compensation; video codecs; video coding; 3D wavelet-based video codecs; JSVM; autocorrelation; coding efficiency; joint scalable video model; low-delay MCTF partitioning; motion compensated temporal filtering structure; predictive frames; residual energy computation; wavelet filter; Autocorrelation; Computer networks; Delay; Filtering; Filters; PSNR; Scalability; Static VAr compensators; Video codecs; Video coding; JSVM; MCTF; Scalable; Video coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2006 IEEE International Conference on
  • Conference_Location
    Atlanta, GA
  • ISSN
    1522-4880
  • Print_ISBN
    1-4244-0480-0
  • Type

    conf

  • DOI
    10.1109/ICIP.2006.313108
  • Filename
    4106926