Image Indexing Using Color Correlograms

Puerto Rico June 17-June 19

DOI Bookmark:

http://doi.ieeecomputersociety.org/10.1109/CVPR.1997.609412

1997 IEEE Computer Society Conference ...

	This Article
	PURCHASE ARTICLE: $19 PDF HTML IEEE Xplore Subscribers
	Share
	Email this Article to a friend
	Bibliographic References
	ASCII Text BibTex RefWorks Procite/RefMan/Endnote
	Add to:
	Digg Furl Spurl Blink Simpy Google Del.icio.us Y!MyWeb
	Search
	Similar Articles Articles by Jing Huang Articles by S. Ravi Kumar Articles by Mandar Mitra Articles by Wei-Jing Zhu Articles by Ramin Zabih

	ASCII Text	x
	Jing Huang, S. Ravi Kumar, Mandar Mitra, Wei-Jing Zhu, Ramin Zabih, "Image Indexing Using Color Correlograms," Computer Vision and Pattern Recognition, IEEE Computer Society Conference on, pp. 762, 1997 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'97), 1997.

	BibTex	x
	@article{ 10.1109/CVPR.1997.609412, author = {Jing Huang and S. Ravi Kumar and Mandar Mitra and Wei-Jing Zhu and Ramin Zabih}, title = {Image Indexing Using Color Correlograms}, journal ={Computer Vision and Pattern Recognition, IEEE Computer Society Conference on}, volume = {0}, year = {1997}, issn = {1063-6919}, pages = {762}, doi = {http://doi.ieeecomputersociety.org/10.1109/CVPR.1997.609412}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Computer Vision and Pattern Recognition, IEEE Computer Society Conference on TI - Image Indexing Using Color Correlograms SN - 1063-6919 SP EP A1 - Jing Huang, A1 - S. Ravi Kumar, A1 - Mandar Mitra, A1 - Wei-Jing Zhu, A1 - Ramin Zabih, PY - 1997 KW - content-based image retrieval KW - image indexing KW - color histograms KW - correlograms VL - 0 JA - Computer Vision and Pattern Recognition, IEEE Computer Society Conference on ER -

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

Peer Review Notice | Give Us Feedback

Usage of this product signifies your acceptance of the Terms of Use.