Color Correction and Compression for Multi-view Video Using H.264 Features

  • Boxin Shi
  • Yangxi Li
  • Lin Liu
  • Chao Xu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5996)


Multi-view video is a new video application requiring efficient coding algorithm to compress the huge data, while the color variations among different viewpoints deteriorate the visual quality of multi-view video. This paper deals with these two problems simultaneously focusing on color. With the spatial block-matching information from multi-view video coding, color annotated images can be produced given gray input in one view and color input in another view. Then the color images are rendered from colorization process. By discarding most of the chrominance information before encoding and restoring them when decoding, this novel scheme can greatly improve the compression rate without much loss in visual quality, while at the same time produce color images with similar appearance to reference without correction.


Visual Quality Quantization Parameter Color Correction Color Transfer Histogram Match 
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.


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  1. 1.
    Reid, M., Millar, R., Black, N.: Second-generation image coding: An overview. ACM Computer Surveys 29, 3–29 (1997)CrossRefGoogle Scholar
  2. 2.
    Liu, D., et al.: Image compression with edge-based inpainting. IEEE Transactions on Circuit and Systems for Video Technology 17, 1273–1287 (2007)CrossRefGoogle Scholar
  3. 3.
    Rane, S., Sapiro, G., Bertalmio, M.: Structure and texture filling-in of missing image blocks in wireless transmission and compression applications. IEEE Transactions on Image Process. 12, 296–303 (2003)CrossRefMathSciNetGoogle Scholar
  4. 4.
    Tanimoto, M.: Free viewpoint television—FTV. In: Picture Coding Symposium, PCS (2004)Google Scholar
  5. 5.
    Matusik, W., Pfister, H.: 3DTV: A scalable system for real-time acquisition, transmission, and autostereoscopic display of dynamic scenes. ACM SIGGRAPH, 814–824 (2004)Google Scholar
  6. 6.
    Fecker, U., Barkowsky, M., Kaup, A.: Histogram-based prefiltering for luminance and chrominance compensation of multiview video. IEEE Transactions on Circuits and Systems for Video Technology 18, 1258–1267 (2008)CrossRefGoogle Scholar
  7. 7.
    Kimata, H., et al.: Multi-view video coding using reference picture selection for free-viewpoint video communication. In: Picture Coding Symposium, PCS (2004)Google Scholar
  8. 8.
    Mueller, K., et al.: Multi-view video coding based on H.264/MPEG4-AVC using hierarchical b pictures. In: Proc. Picture Coding Symposium, PCS (2006)Google Scholar
  9. 9.
    Kumar, R., Mitra, S.: Motion estimation based color transfer and its application to color video compression. Pattern Analysis Application 11, 131–139 (2008)CrossRefGoogle Scholar
  10. 10.
    Reinhard, E., et al.: Color transfer between images. IEEE Computer Graphics Applications 21, 34–41 (2001)CrossRefGoogle Scholar
  11. 11.
    Liu, X., et al.: Intrinsic colorization. ACM SIGGRAPH Asia, 151:1–152:9 (2008)Google Scholar
  12. 12.
    Welsh, T., et al.: Transferring color to grayscale images. ACM SIGGRAPH, 277–280 (2002)Google Scholar
  13. 13.
    Levin, A., Lischinski, D., Weiss, Y.: Colorization using optimization. ACM SIGGRAPH, 689–694 (2004)Google Scholar
  14. 14.
    Wiegand, T., et al.: Overview of the H.264/AVC video coding standard. IEEE Transactions on Circuits and Systems for Video Technology 13, 560–576 (2003)CrossRefGoogle Scholar
  15. 15.
    Qu, Y., Wong, T., Heng, P.: Manga colorization. ACM SIGGRAPH, 1214–1220 (2004)Google Scholar
  16. 16.
    H.264/AVC JM reference software,
  17. 17.
    Flamenco2 sequence download,
  18. 18.

Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Boxin Shi
    • 1
  • Yangxi Li
    • 1
  • Lin Liu
    • 1
  • Chao Xu
    • 1
  1. 1.Key Laboratory of Machine Perception (Ministry of Education)Peking UniversityBeijingChina

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