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Giving order to image queries - art. no. 682005

Giving order to image queries - art. no. 682005
Giving order to image queries - art. no. 682005
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.
82005-82005
Hare, JS
686b3b0c-7a18-4742-b99d-852f33061dd4
Sinclair, PAS
e4c4ead3-1ed5-43b5-8411-f80ec21a5942
Lewis, PH
7aa6c6d9-bc69-4e19-b2ac-a6e20558c020
Martinez, K
5f711898-20fc-410e-a007-837d8c57cb18
Hare, JS
686b3b0c-7a18-4742-b99d-852f33061dd4
Sinclair, PAS
e4c4ead3-1ed5-43b5-8411-f80ec21a5942
Lewis, PH
7aa6c6d9-bc69-4e19-b2ac-a6e20558c020
Martinez, K
5f711898-20fc-410e-a007-837d8c57cb18

Hare, JS, Sinclair, PAS, Lewis, PH and Martinez, K (2008) Giving order to image queries - art. no. 682005. MULTIMEDIA CONTENT ACCESS: ALGORITHMS AND SYSTEMS II, 6820, 82005-82005.

Record type: Article

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.

Full text not available from this repository.

More information

Published date: 2008
Additional Information: Imported from ISI Web of Science
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 269313
URI: https://eprints.soton.ac.uk/id/eprint/269313
PURE UUID: f5f7b2ed-f416-4511-a9a6-94c912c67daf
ORCID for K Martinez: ORCID iD orcid.org/0000-0003-3859-5700

Catalogue record

Date deposited: 21 Apr 2010 07:46
Last modified: 06 Jun 2018 13:01

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