• DocumentCode
    1875012
  • Title

    Separable adaptive interpolation filter for video coding

  • Author

    Wittmann, Steffen ; Wedi, Thomas

  • Author_Institution
    Panasonic R&D Center Germany, Langen
  • fYear
    2008
  • fDate
    12-15 Oct. 2008
  • Firstpage
    2500
  • Lastpage
    2503
  • Abstract
    Motion-compensated prediction using fractional-pel motion vectors followed by transform coding of the resulting prediction error is used in hybrid video coding. In the case of fractional-pel motion, pixels at fractional-pel positions have to be determined by interpolation. For this purpose, fixed interpolation filters are applied in H.264/AVC. By using fixed interpolation filters, time varying effects such as aliasing, quantization errors, errors from inaccurate motion estimation, camera noise, etc cannot be considered accurately. Thus, the coding efficiency of the motion compensated prediction is limited. The concept of adaptive interpolation filtering addresses these effects resulting in an increased coding efficiency. Since a non-separable adaptive filter is used in prior art, it is associated with a significantly increased computational expense at encoder and decoder. In order to reduce the computational expense, a separable adaptive interpolation filtering is proposed in this paper that achieves the same coding efficiency than the non-separable adaptive filter. With this separable interpolation filter, the computational expense of the filtering is reduced by 24% in case of 4times4 motion-compensated blocks, 36% in case of 8times8 motion-compensated blocks, and 42% in case of 16times16 motion-compensated blocks compared to a non-separable filter, whereas the computational expense is measured by the number of calculation operations.
  • Keywords
    adaptive filters; image resolution; motion compensation; quantisation (signal); video coding; abstract label nodes; augmented tree partitioning; competitive segmentation; dynamic programming; graph structure; interactive image segmentation; minimum spanning tree; semisupervised image segmentation method; tree-based structure; Adaptive filters; Art; Automatic voltage control; Cameras; Filtering; Interpolation; Motion estimation; Quantization; Transform coding; Video coding; Adaptive Filtering; H.264/AVC; Motion-Compensated Prediction; Video Coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on
  • Conference_Location
    San Diego, CA
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-1765-0
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2008.4712301
  • Filename
    4712301