Article

An application of multiple viewpoints to content-based image retrieval

Authors:

James C. French,

A. C. Chapin,

Worthy N. MartinAuthors Info & Claims

JCDL '03: Proceedings of the 3rd ACM/IEEE-CS joint conference on Digital libraries

Pages 128 - 130

Published: 27 May 2003 Publication History

Get Access

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[3].

References

[1]

Belkin, N., Kantor, P., Cool, C. and Quatrain, R. Combining Evidence for Information Retrieval in Proceedings of Trec-2 (March 1994), 35--44.

Google Scholar

[2]

French, J. C., Chapin, A. C., Martin, W. N., Multiple Viewpoints as an Approach to Digital Library Interfaces. Workshop on Document Search Interface Design and Intelligent Access in Large-scale Collections, July 2002.

Google Scholar

[3]

French, J. C., Watson, J. V. S., Jin, X and Martin, W. N. Using Multiple Image Representations to Improve the Quality of Content-Based Image Retrieval. Technical Report CS-2003-10, Dept. of Computer Science, Univ. of Virginia, March, 2003.

Google Scholar

[4]

Shaw, J. and Fox, E. Combination of Multiple Searches in Proceedings of TREC-3 (April 1995) 105--108.

Google Scholar

[5]

Yoshitaka, A., and Ichikawa, T. A Survey on Content-Based Retrieval for Multimedia Databases, IEEE Transactions on Knowledge and Data Engineering, 11(1), 81--93.

Digital Library

Google Scholar

Cited By

View all

Abbadeni NShin SOssowski S(2009)Information retrieval from visual databases using multiple representations and multiple queriesProceedings of the 2009 ACM symposium on Applied Computing10.1145/1529282.1529625(1523-1527)Online publication date: 8-Mar-2009
https://dl.acm.org/doi/10.1145/1529282.1529625
Abbadeni N(2007)An approach based on multiple representations and multiple queries for invariant image retrievalProceedings of the 9th international conference on Advances in visual information systems10.5555/1783294.1783358(570-579)Online publication date: 28-Jun-2007
https://dl.acm.org/doi/10.5555/1783294.1783358
Christel MConescu RMarlino MSumner TShipman F(2005)Addressing the challenge of visual information access from digital image and video librariesProceedings of the 5th ACM/IEEE-CS joint conference on Digital libraries10.1145/1065385.1065402(69-78)Online publication date: 7-Jun-2005
https://dl.acm.org/doi/10.1145/1065385.1065402
Show More Cited By

Index Terms

An application of multiple viewpoints to content-based image retrieval

Recommendations

Localized Content-Based Image Retrieval

We define localized content-based image retrieval as a CBIR task where the user is only interested in a portion of the image, and the rest of the image is irrelevant. In this paper we present a localized CBIR system, Accio, that uses labeled images in ...
Content-based image retrieval: a deep look at features prospectus

Currently, rapid growth of digital images on the internet is observed, accordingly, the need for content-based image retrieval systems are in high demand. Content-based image retrieval CBIR is an image search technique that does not depend on manually ...
Content-Based Image Retrieval by Relevance Feedback
VISUAL '00: Proceedings of the 4th International Conference on Advances in Visual Information Systems

Relevance feedback is a powerful technique for content-based image retrieval. Many parameter estimation approaches have been proposed for relevance feedback. However, most of them have only utilized information of the relevant retrieved images, and have ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

JCDL '03: Proceedings of the 3rd ACM/IEEE-CS joint conference on Digital libraries

May 2003

393 pages

ISBN:0769519393

Conference Chair:
Lois Delcambre
Oregon Health & Science University
,
General Chair:
Geneva Henry
Rice University
,
Program Chair:
Catherine C. Marshall
Microsoft Corporation

Publisher

IEEE Computer Society

United States

Publication History

Published: 27 May 2003

Check for updates

Qualifiers

Article

Conference

JCDL03

Sponsor:

JCDL03: Joint Conference on Digital Libraries 2003

May 27 - 31, 2003

Texas, Houston

Acceptance Rates

JCDL '03 Paper Acceptance Rate 54 of 216 submissions, 25%;

Overall Acceptance Rate 415 of 1,482 submissions, 28%

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

4
Total Citations
View Citations
493
Total Downloads

Downloads (Last 12 months)0
Downloads (Last 6 weeks)0

Reflects downloads up to 23 Dec 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Abbadeni NShin SOssowski S(2009)Information retrieval from visual databases using multiple representations and multiple queriesProceedings of the 2009 ACM symposium on Applied Computing10.1145/1529282.1529625(1523-1527)Online publication date: 8-Mar-2009
https://dl.acm.org/doi/10.1145/1529282.1529625
Abbadeni N(2007)An approach based on multiple representations and multiple queries for invariant image retrievalProceedings of the 9th international conference on Advances in visual information systems10.5555/1783294.1783358(570-579)Online publication date: 28-Jun-2007
https://dl.acm.org/doi/10.5555/1783294.1783358
Christel MConescu RMarlino MSumner TShipman F(2005)Addressing the challenge of visual information access from digital image and video librariesProceedings of the 5th ACM/IEEE-CS joint conference on Digital libraries10.1145/1065385.1065402(69-78)Online publication date: 7-Jun-2005
https://dl.acm.org/doi/10.1145/1065385.1065402
Abbadeni N(2005)Perceptual image retrievalProceedings of the 8th international conference on Visual Information and Information Systems10.1007/11590064_23(259-268)Online publication date: 5-Jul-2005
https://dl.acm.org/doi/10.1007/11590064_23

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Cited By

Index Terms

Recommendations

Localized Content-Based Image Retrieval

Content-based image retrieval: a deep look at features prospectus

Content-Based Image Retrieval by Relevance Feedback