An application of multiple viewpoints to content-based image retrieval

Author

French, James C. ; Chapin, A.C. ; Martin, Worthy N.

Author_Institution

Dept. of Comput. Sci., Virginia Univ., Charlottesville, VA, USA

fYear

2003

fDate

27-31 May 2003

Firstpage

128

Lastpage

130

Abstract

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 [J.C. French et al., (2003)].

Keywords

content-based retrieval; feature extraction; image representation; image retrieval; information retrieval systems; query formulation; CBIR; content-based image retrieval system; feature extraction; image collection; image representation; image-seeking user; multiple image channel; multiple viewpoint application; search technology; Application software; Computer science; Content based retrieval; Feature extraction; Image color analysis; Image representation; Image retrieval; Indexing; Information retrieval; Merging;

fLanguage

English

Publisher

ieee

Conference_Titel

Digital Libraries, 2003. Proceedings. 2003 Joint Conference on

Print_ISBN

0-7695-1939-3

Type

conf

DOI

10.1109/JCDL.2003.1204853

Filename

1204853