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Third ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL'03)
An Application of Multiple Viewpoints to Content-Based Image Retrieval
Houston, Texas USA
May 27-May 31
ISBN: 0-7695-1939-3
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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