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Compensating for Motion Estimation Inaccuracies in DVC

  • Jürgen Slowack
  • Jozef Škorupa
  • Stefaan Mys
  • Nikos Deligiannis
  • Peter Lambert
  • Adrian Munteanu
  • Rik Van de Walle
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6134)

Abstract

Distributed video coding is a relatively new video coding approach, where compression is achieved by performing motion estimation at the decoder. Current techniques for decoder-side motion estimation make use of assumptions such as linear motion between the reference frames. It is only after the frame is partially decoded that some of the errors are corrected. In this paper, we propose a new approach with multiple predictors, accounting for inaccuracies in the decoder-side motion estimation process during the decoding. Each of the predictors is assigned a weight, and the correlation between the original frame at the encoder and the set of predictors at the decoder is modeled at the decoder. This correlation information is then used during the decoding process. Results indicate average quality gains up to 0.4 dB.

Keywords

Motion Vector Motion Estimation Side Information Linear Predictor Distribute Video Code 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 1.
    Aaron, A., Rane, S., Setton, E., Girod, B.: Transform-domain Wyner-Ziv codec for video. In: Proc. SPIE Visual Communications and Image Processing, January 2004, vol. 5308, pp. 520–528 (2004)Google Scholar
  2. 2.
    Artigas, X., Ascenso, J., Dalai, M., Klomp, S., Kubasov, D., Ouaret, M.: The DISCOVER codec: Architecture, techniques and evaluation. In: Proc. Picture Coding Symposium (PCS) (November 2007)Google Scholar
  3. 3.
    Kubasov, D., Guillemot, C.: Mesh-based motion-compensated interpolation for side information extraction in Distributed Video Coding. In: Proc. IEEE International Conference on Image Processing (ICIP) (October 2006)Google Scholar
  4. 4.
    Martins, R., Brites, C., Ascenso, J., Pereira, F.: Refining side information for improved transform domain wyner-ziv video coding. IEEE Transactions on Circuits and Systems for Video Technology 19(9), 1327–1341 (2009)CrossRefGoogle Scholar
  5. 5.
    Ye, S., Ouaret, M., Dufaux, F., Ebrahimi, T.: Improved side information generation for distributed video coding by exploiting spatial and temporal correlations. EURASIP Journal on Image and Video Processing (2009) Article ID 683510 Google Scholar
  6. 6.
    Fan, X., Au, O.C., Cheung, N.M., Chen, Y., Zhou, J.: Successive refinement based Wyner-Ziv video compression. Signal Processing: Image Communcation (2009) doi:10.1016/j.image.2009.09.004Google Scholar
  7. 7.
    Slowack, J., Mys, S., Škorupa, J., Lambert, P., Grecos, C., Van de Walle, R.: Accounting for quantization noise in online correlation noise estimation for distributed video coding. In: Proc. Picture Coding Symposium (PCS) (May 2009)Google Scholar
  8. 8.
    Škorupa, J., Slowack, J., Mys, S., Lambert, P., Grecos, C., Van de Walle, R.: Stopping criterions for turbo coding in a Wyner-Ziv video codec. In: Proc. Picture Coding Symposium (PCS) (May 2009)Google Scholar
  9. 9.
    Brites, C., Pereira, F.: Correlation Noise Modeling for Efficient Pixel and Transform Domain Wyner-Ziv Video Coding. IEEE Transactions on Circuits and Systems for Video Technology 18(9), 1177–1190 (2008)CrossRefGoogle Scholar
  10. 10.
    Kubasov, D., Nayak, J., Guillemot, C.: Optimal reconstruction in Wyner-Ziv video coding with multiple side information. In: IEEE MultiMedia Signal Processing Workshop, October 2007, pp. 183–186 (2007)Google Scholar
  11. 11.
    Bjøntegaard, G.: Calculation of average PSNR differences between RD-curves. Technical report, VCEG, Contribution VCEG-M33 (April 2002)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Jürgen Slowack
    • 1
  • Jozef Škorupa
    • 1
  • Stefaan Mys
    • 1
  • Nikos Deligiannis
    • 2
  • Peter Lambert
    • 1
  • Adrian Munteanu
    • 2
  • Rik Van de Walle
    • 1
  1. 1.Dept. of Electronics and Information Systems (ELIS) Multimedia LabGhent University – IBBTGhentBelgium
  2. 2.Electronics and Informatics Dept. (ETRO)Vrije Universiteit Brussel – IBBTBrusselsBelgium

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