• DocumentCode
    3406415
  • Title

    Efficient calculation of adaptive interpolation filter with distortion modelling

  • Author

    Ugur, Kemal ; Rusanovskyy, Dmytro ; Gabbouj, Moncef

  • Author_Institution
    Nokia Res. Center, Tampere
  • fYear
    2008
  • fDate
    March 31 2008-April 4 2008
  • Firstpage
    673
  • Lastpage
    676
  • Abstract
    A novel method is proposed to calculate the coefficients of adaptive interpolation filter used in hybrid video coders for improving the coding efficiency. The proposed algorithm first selects the motion blocks where the majority of prediction errors result from mismatches in motion estimation and from aliasing present in the signal. This is realized by using a second order distortion model to estimate the effect of quantization on motion prediction error and coding results of the previous frames. Then, the filter coefficients are calculated analytically by minimizing the prediction error of those selected blocks. Experimental results show that the proposed method achieves up-to 0.6 dB gain compared to the standard H.264/AVC. Compared to other methods that calculate the filter coefficients using all motion blocks of the frame, the proposed method has significantly less encoding complexity (83% on average) with practically no penalty on coding efficiency.
  • Keywords
    adaptive filters; interpolation; motion estimation; video coding; adaptive interpolation filter; coding efficiency; hybrid video coders; motion blocks; motion estimation; motion prediction error; quantization effect; second order distortion model; standard H.264/AVC; Adaptive filters; Automatic voltage control; Encoding; Gain; Interpolation; Motion estimation; Nonlinear filters; Quantization; Signal processing algorithms; Video sequences; Adaptive Interpolation; Video Coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
  • Conference_Location
    Las Vegas, NV
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-1483-3
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2008.4517699
  • Filename
    4517699