ML Anthology

Image Indexing Using Color Correlograms

Jing Huang, Ravi Kumar, Mandar Mitra, Wei-Jing Zhu, Ramin Zabih
CVPR 1997 pp. 762-768
doi:10.1109/CVPR.1997.609412 /cvpr/1997/huang1997cvpr-image/

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.

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Cite

Text

Huang et al. "Image Indexing Using Color Correlograms." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1997. doi:10.1109/CVPR.1997.609412

Markdown

[Huang et al. "Image Indexing Using Color Correlograms." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1997.](https://mlanthology.org/cvpr/1997/huang1997cvpr-image/) doi:10.1109/CVPR.1997.609412

BibTeX

@inproceedings{huang1997cvpr-image,
  title     = {{Image Indexing Using Color Correlograms}},
  author    = {Huang, Jing and Kumar, Ravi and Mitra, Mandar and Zhu, Wei-Jing and Zabih, Ramin},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {1997},
  pages     = {762-768},
  doi       = {10.1109/CVPR.1997.609412},
  url       = {https://mlanthology.org/cvpr/1997/huang1997cvpr-image/}
}