An Application of Multiple Viewpoints to Content-Based Image Retrieval

Houston, Texas USA May 27-May 31

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http://doi.ieeecomputersociety.org/10.1109/JCDL.2003.1204853

Third ACM/IEEE-CS Joint Conference on ...

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	ASCII Text	x
	James C. French, A. C. Chapin, Worthy N. Martin, "An Application of Multiple Viewpoints to Content-Based Image Retrieval," Digital Libraries, Joint Conference on, pp. 128, Third ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL'03), 2003.

	BibTex	x
	@article{ 10.1109/JCDL.2003.1204853, author = {James C. French and A. C. Chapin and Worthy N. Martin}, title = {An Application of Multiple Viewpoints to Content-Based Image Retrieval}, journal ={Digital Libraries, Joint Conference on}, volume = {0}, year = {2003}, isbn = {0-7695-1939-3}, pages = {128}, doi = {http://doi.ieeecomputersociety.org/10.1109/JCDL.2003.1204853}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Digital Libraries, Joint Conference on TI - An Application of Multiple Viewpoints to Content-Based Image Retrieval SN - 0-7695-1939-3 SP EP A1 - James C. French, A1 - A. C. Chapin, A1 - Worthy N. Martin, PY - 2003 KW - null VL - 0 JA - Digital Libraries, Joint Conference on ER -

James C. French, University of Virginia

A. C. Chapin, University of Virginia

Worthy N. Martin, University of Virginia

Content-based image retrieval uses features that can be extracted from the images themselves. Using more than one representation of the images in a collection can improve the results presented to a user without changing the underlying feature extraction or search technologies. We present an example of this "multiple viewpoint" approach, multiple image channels, and discuss its advantages for an image-seeking user. This approach has also been shown to dramatically improve retrieval effectiveness in content-based image retrieval systems [3].

Citation:

James C. French, A. C. Chapin, Worthy N. Martin, "An Application of Multiple Viewpoints to Content-Based Image Retrieval," jcdl, pp.128, Third ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL'03), 2003

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