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Proceedings Paper

Giving order to image queries
Author(s): Jonathon S. Hare; Patrick A. S. Sinclair; Paul H. Lewis; Kirk Martinez
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Paper Abstract

Users of image retrieval systems often find it frustrating that the image they are looking for is not ranked near the top of the results they are presented. This paper presents a computational approach for ranking keyworded images in order of relevance to a given keyword. Our approach uses machine learning to attempt to learn what visual features within an image are most related to the keywords, and then provide ranking based on similarity to a visual aggregate. To evaluate the technique, a Web 2.0 application has been developed to obtain a corpus of user-generated ranking information for a given image collection that can be used to evaluate the performance of the ranking algorithm.

Paper Details

Date Published: 28 January 2008
PDF: 10 pages
Proc. SPIE 6820, Multimedia Content Access: Algorithms and Systems II, 682005 (28 January 2008); doi: 10.1117/12.767182
Show Author Affiliations
Jonathon S. Hare, Univ. of Southampton (United Kingdom)
Patrick A. S. Sinclair, British Broadcasting Corp. (United Kingdom)
Paul H. Lewis, Univ. of Southampton (United Kingdom)
Kirk Martinez, Univ. of Southampton (United Kingdom)

Published in SPIE Proceedings Vol. 6820:
Multimedia Content Access: Algorithms and Systems II
Theo Gevers; Ramesh C. Jain; Simone Santini, Editor(s)

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