Image indexing using color correlograms
- 22 November 2002
- conference paper
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 762-768
- https://doi.org/10.1109/cvpr.1997.609412
Abstract
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.Keywords
This publication has 12 references indexed in Scilit:
- Histogram refinement for content-based image retrievalPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Content-based image retrieval using color tuple histogramsPublished by SPIE-Intl Soc Optical Eng ,1996
- Color indexing with weak spatial constraintsPublished by SPIE-Intl Soc Optical Eng ,1996
- Chabot: retrieval from a relational database of imagesComputer, 1995
- Query by image and video content: the QBIC systemComputer, 1995
- Efficient color histogram indexing for quadratic form distance functionsIEEE Transactions on Pattern Analysis and Machine Intelligence, 1995
- Decision theoretic generalizations of the PAC model for neural net and other learning applicationsInformation and Computation, 1992
- Color indexingInternational Journal of Computer Vision, 1991
- Robust Regression and Outlier DetectionWiley Series in Probability and Statistics, 1987
- Statistical and structural approaches to textureProceedings of the IEEE, 1979