Content-Based Retrieval on the Compressed Domain of 2nd Generation Image Coding

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2195)


The so-called 2nd generation image coding methods segment images into homogenous regions of various sizes adaptively. Each region is then coded with an appropriate method according to its perceptual characteristics. One of our research aims is to extend 2nd generation image coding methods to meet not only the traditional rate distortion criterion but also the new “easy content access” criterion [6] of image coding. Towards this end, we introduce the region and colour co-occurrence matrix (RACOM), an image content description feature easily computable directly (without decoding) from the compressed domain of 2nd generation image coding methods, and use it for content-based image retrieval from large image databases. We show that RACOM is a very effective image content descriptor and has a comparable performance to state of the art techniques for content-based image retrieval.


Image Retrieval Target Image Query Image Image Code Base Image Retrieval 
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.
    Y. Rui et al, “Image retrieval: current techniques, promising directions, and open issues”, Journal of Visual Communication and Image Representation, Vol. 10, pp. 39–62, 1999CrossRefGoogle Scholar
  2. 2.
    M. Swain and D. Ballard, “Color indexing”, International Journal of Computer Vision, Vol. 7, pp. 11–32, Year 1991CrossRefGoogle Scholar
  3. 3.
    B. S. Manjunath and W. Y. Ma, “Texture features for browsing and retrieval of image data”, IEEE Trans Pattern Analysis and Machine Intelligence, vol. 18, pp. 837–842, 1996CrossRefGoogle Scholar
  4. 4.
    J. Huang, et. al., “Image indexing using color correlogram”, Proc. CVPR, pp. 762–768, 1997Google Scholar
  5. 5.
    C. Carson et al, “Blobworld: A system for region-based image indexing and retrieval”, Proc. Int. Conf. Vis. Inf. Sys. 1999Google Scholar
  6. 6.
    R. W. Picard, “Content Access for Image/Video Coding: “The Fourth Criterion””, MIT Media Lab TR No. 295. 1994Google Scholar
  7. 7.
    M. Kunt et al, “Second generation image coding”, Proc. IEEE, vol. 73, pp. 549–574, 1985CrossRefGoogle Scholar
  8. 8.
    J. Vaisey and A Gersho, “Image compression with variable block size segmentation, IEEE Trans Signal Processing, vol. 40, pp. 2040–2060, 1992CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2001

Authors and Affiliations

  • G. Qiu
    • 1
  1. 1.School of Computer ScienceThe University of NottinghamNottinghamUK

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