We suggest the use of the color correlogram as a generic indexing tool to tackle various computer vision problems. Correlograms were shown to be very effective for content-based image retrieval. We adapt the correlogram to handle the problems of image subregion querying, object localization, object tracking, and cut detection. Experimental results suggest that the color correlogram is much more effective than the histogram for these applications, with insignificant additional computational, storage, or processing cost. We also provide a technique to cut down the storage requirement of correlograms so that it is the same as that of histograms, with only negligible performance penalty compared to the original correlogram.


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    Title :

    Spatial color indexing and applications


    Contributors:
    Jing Huang (author) / Kumar, S.R. (author) / Mitra, M. (author) / Wei-Jing Zhu (author)


    Publication date :

    1998-01-01


    Size :

    1048308 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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