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Histogram refinement for content-based image retrieval
Abstract
Color histograms are widely used for content-based image retrieval. Their advantages are efficiency, and insensitivity to small changes in camera viewpoint. However, a histogram is a coarse characterization of an image, and so images with very different appearances can have similar histograms. We describe a technique for comparing images called histogram refinement, which imposes additional constraints on histogram based matching. Histogram refinement splits the pixels in a given bucket into several classes, based upon some local property. Within a given bucket, only pixels in the same class are compared. We describe a split histogram called a color coherence vector (CCV), which partitions each histogram bucket based on spatial coherence. CCVs can be computed at over 5 images per second on a standard workstation. A database with 15,000 images can be queried using CCVs in under 2 seconds. We demonstrate that histogram refinement can be used to distinguish images whose color histograms are indistinguishable.
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Cited by
Image indexing using color correlograms
Huang, J., Kumar, S. R., Mitra, M., Zhu, W.-J., & Zabih, R. (2002) · Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.1997.609412 · Cited by 1,646
Self-citationPerceptual Metrics for Image Database Navigation
Rubner, Y., & Tomasi, C. (2001) · Springer eBooks · doi:10.1007/978-1-4757-3343-3 · Cited by 296
Spatial Color Indexing and Applications
Huang, J., Ravi Kumar, S., Mitra, M., Zhu, W.-J., & Zabih, R. (1999) · International Journal of Computer Vision · doi:10.1023/a:1008108327226 · Cited by 271
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Metadata
- Authors
- Pass, G., & Zabih, R.
- Venue
- Proceedings Third IEEE Workshop on Applications of Computer Vision. WACV'96
- Publisher
- IEEE Comput. Soc. Press
- Published
- 2002-12-24
- Pages
- 96-102
- ISSN
- 1550-5790 (ISSN-L)
- OpenAlex
- W2109325523
- Cited by
- 484
- References
- 0
- FWCI
- 21.32
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Pass, G., & Zabih, R. (2002). Histogram refinement for content-based image retrieval. Proceedings Third IEEE Workshop on Applications of Computer Vision. WACV'96. https://doi.org/10.1109/acv.1996.572008
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