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JCDL
2003
ACM

An Application of Multiple Viewpoints to Content-Based Image Retrieval

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An Application of Multiple Viewpoints to Content-Based Image Retrieval
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].
James C. French, A. C. Chapin, Worthy N. Martin
Added 05 Jul 2010
Updated 05 Jul 2010
Type Conference
Year 2003
Where JCDL
Authors James C. French, A. C. Chapin, Worthy N. Martin
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