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Distributed Video Coding for Illumination Compensation of Multi-view Video

  • Park, Sean-Ae (Department of Computer Engineering, Kwangwoon University) ;
  • Sim, Dong-Gyu (Department of Computer Engineering, Kwangwoon University) ;
  • Jeon, Byeung-Woo (School of Information and Communication Engineering, Sungkyunkwan University)
  • Received : 2010.07.12
  • Accepted : 2010.09.12
  • Published : 2010.12.23

Abstract

In this paper, we propose an improved distributed multi-view video coding method that is robust to illumination changes among different views. The use of view dependency is not effective for multi-view video because each view has different intrinsic and extrinsic camera parameters. In this paper, a modified distributed multi-view coding method is presented that applies illumination compensation when generating side information. The proposed encoder codes DC values of discrete cosine transform (DCT) coefficients separately by entropy coding. The proposed decoder can generate more accurate side information by using the transmitted DC coefficients to compensate for illumination changes. Furthermore, AC coefficients are coded with conventional entropy or channel coders depending on the frequency band. We found that the proposed algorithm is about 0.1~0.5 dB better than conventional algorithms.

Keywords

References

  1. Joint Video Team (JVT) of ITU-T VCEG and ISO/IEC MPEG, "Draft ITU-T recommendation H.264 and ISO/IEC 14496-10 AVC," Oct. 2009.
  2. J. D. Slepian and J. K. Wolf, "Noiseless coding of correlated information sources," Trans. on IEEE Information Theory, vol. 19, no. 4, pp. 471-480, July 1973. https://doi.org/10.1109/TIT.1973.1055037
  3. Bernd Girod, Anne Aaron, Shantanu Rane and David Rebollo-Monedero, "Distributed video coding," in Proc. of IEEE, vol. 93, no. 1, pp.71-83, Jan. 2005. https://doi.org/10.1109/JPROC.2004.839619
  4. F. Pereira, L. Torres, C. Guillemot, T. Ebrahimi, R. Leonardi and S. Klomp, "Distributed coding: selecting the most promising application scenarios," Signal Processing: Image Communication, vol. 23, no. 5, pp. 339-352, June 2008. https://doi.org/10.1016/j.image.2008.04.002
  5. R. Puri and K. Ramchandran, "PRISM: An uplink-friendly multimedia coding paradigm," in Proc. of IEEE Conf. on Acoustics, Speech and Signal Processing, vol. 4, no. 4, pp. 856-859, Apr. 2003.
  6. X. Guo, Y. Lu, F. Wu, W. Gao and S. Li, "Distributed multi-view video coding," in Proc. of SPIE Visual Communications and Image Processing, vol. 6077, 60770T.1-60770T.8, Jan. 2006.
  7. F. Dufaux, M. Ouaret and T. Ebrahimi, "Recent advances in multi-view distributed video coding," in Proc. of SPIE Mobile Multimedia/Image Processing for Military and Security Applications, vol. 6157, pp. 1-11, Apr. 2007.
  8. J.-H. Hur, S. Cho and Y.-L. Lee, "Adaptive local illumination change compensation method for H.264/AVC-based multi-view video coding," Trans. on IEEE Circuits Systems and Video Technology, vol. 17, no. 11, pp. 1496-1505, Nov. 2007. https://doi.org/10.1109/TCSVT.2007.903774
  9. C. E. Shannon, "A mathematical theory of communication," ACM SIGMOBILE Mobile Computing and Communications Review, vol. 5, no. 1, pp. 3-55, Jan. 2001. https://doi.org/10.1145/584091.584093
  10. A. D. Wyner, "Recent results in the Shannon theory," Trans. on IEEE Information Theory, vol. 20, no. 1, pp. 2-10, Janu. 1974. https://doi.org/10.1109/TIT.1974.1055171
  11. B. Ko, J. Sim and B. Jeon, "Wyner-Ziv video coding with side matching for improved side information," LNCS, vol. 4872, pp. 816-825, Dec. 2007.
  12. A. Aaron and B. Girod, "Compression with side information using turbo codes," in Proc. of IEEE Conf. on Data Compression , pp. 252-261, Apr. 2002.
  13. A.B.B. Adlikari, W.A.C. Fernando, W.A.R.T Weerakkody and H. K. Arachchi, "A sequential motion compensation refinement technique for distributed video coding of Wyner-ziv frames," in Proc. of the IEEE Conf. on Image Processing, pp. 597-600, October 2006.
  14. S. Ye, M. Ouaret, F. Dufaux and T. Ebrahimi, "Improved side information generation for distributed video coding by exploiting spatial and temporal correlations," EURASIP Journal on Image and Video Processing, vol. 2009, Article ID 683510, Dec. 2008.
  15. T. N. Dinh, G. S. Lee, J. Y. Chang and H. J. Cho, "Side information generation using extra information in distributed video coding," in Proc. of the Symp. on Signal Processing and Information Technology, pp. 138-143, Dec. 2007.
  16. G.-I. Lee, B.-W. Jeon, R.-H. Park and S.-H. Lee, "Hierarchical motion compensated frame rate up-conversion based on the Gaussian/Laplacian pyramid," in Proc. of IEEE International Conf. on Consumer Electronics, pp. 350-351, June 2003.
  17. K. Y. Min, S. N. Park and D. G. Sim, "Side information generation using adaptive search range for distributed video coding," in Proc. of the Conf. on Pacific-rim Symposium on Image and Video Technology, vol. 4872, pp 854-857, Aug. 2009.
  18. X. Artigas, E. Angeli and L. Torres, "Side information generation for multi-view distributed video coding using a fusion approach," in Proc. of the 7th Nordic Signal Processing Symposium, pp.250-253, June 2003.
  19. C. Yeo and K. Ramchandran, "Robust distributed multi-view video compression for wireless camera networks," in Proc. of IEEE international Conf. on Image Processing, vol. 3, pp. 21-24, Sept. 2007.
  20. A. Aaron, S. Rane, E. Setton and B. Girod, "Transform-domain Wyner-Ziv codec for video," in Proc. of the SPIE Visual Communications and International Processing, pp. 520-528, Jan. 2004.

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