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1997 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'97)
Image Indexing Using Color Correlograms
Puerto Rico
June 17-June 19
ISBN: 0-8186-7822-4
Jing Huang, Cornell University
S. Ravi Kumar, Cornell University
Mandar Mitra, Cornell University
Wei-Jing Zhu, Cornell University
Ramin Zabih, Cornell University
We define a new image feature called the color correlogram and use it for image indexing and comparison. This feature distills the spatial correlation of colors, and is both effective and inexpensive for content-based image retrieval. The correlogram robustly tolerates large changes in appearance and shape caused by changes in viewing positions, camera zooms, etc. Experimental evidence suggests that this new feature outperforms not only the traditional color histogram method but also the recently proposed histogram refinement methods for image indexing/retrieval.
Index Terms:
content-based image retrieval, image indexing, color histograms, correlograms
Citation:
Jing Huang, S. Ravi Kumar, Mandar Mitra, Wei-Jing Zhu, Ramin Zabih, "Image Indexing Using Color Correlograms," cvpr, pp.762, 1997 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'97), 1997
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