International Journal of Computer Vision
An integrated color-spatial approach to content-based image retrieval
Proceedings of the third ACM international conference on Multimedia
Image Indexing Using Color Correlograms
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Histogram refinement for content-based image retrieval
WACV '96 Proceedings of the 3rd IEEE Workshop on Applications of Computer Vision (WACV '96)
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Standard histograms, because of their efficiency and insensitivity to small changes, are widely used for content based image retrieval. But the main disadvantage of histograms is that many images of different appearances can have similar histograms because histograms provide coarse characterization of an image. Color histograms too are widely used and suffer from the same problem. In this paper, the technique defined is based on Histogram Refinement [1] and we call it Color and Egde Refinement. Color and Egde Refinement method splits the pixels in a given bucket into several classes just like histogram refinement method. The classes are all related to colors & edges and are based on color & edge coherence vectors.