Image indexing using color correlograms

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 an...

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Bibliographic Details
Published inProceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition pp. 762 - 768
Main Authors Jing Huang, Kumar, S.R., Mitra, M., Wei-Jing Zhu, Zabih, R.
Format Conference Proceeding
LanguageEnglish
Published IEEE 1997
Subjects
Cameras
Histograms
Image databases
Image retrieval
Indexing
Layout
Optical computing
Robustness
Shape
Spatial databases
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ISBN9780818678226
0818678224
ISSN1063-6919
1063-6919
DOI10.1109/CVPR.1997.609412

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Summary: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.
ISBN:9780818678226
0818678224
ISSN:1063-6919
1063-6919
DOI:10.1109/CVPR.1997.609412