Semantic Facets: An in-depth Analysis of a Semantic Image Retrieval System
Semantic Facets: An in-depth Analysis of a Semantic Image Retrieval System
This paper introduces a faceted model of image semantics which attempts to express the richness of semantic content interpretable within an image. Using a large image data-set from a museum collection the paper shows how the facet representation can be applied. The second half of the paper describes our semantic retrieval system, and demonstrates its use with the museum image collection. A retrieval evaluation is performed using the system to investigate how the retrieval performance varies with respect to each of the facet categories. A number of factors related to the image data-set that affect the quality of retrieval are also discussed.
Image Retrieval, evaluation, semantic facets
Hare, Jonathon S.
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Lewis, Paul H.
7aa6c6d9-bc69-4e19-b2ac-a6e20558c020
Enser, Peter G. B.
3d0430bb-861f-4d99-a2d7-be7935d5a6c5
Sandom, Christine J.
6637df2a-0204-4e48-951c-6a95e661627d
2007
Hare, Jonathon S.
65ba2cda-eaaf-4767-a325-cd845504e5a9
Lewis, Paul H.
7aa6c6d9-bc69-4e19-b2ac-a6e20558c020
Enser, Peter G. B.
3d0430bb-861f-4d99-a2d7-be7935d5a6c5
Sandom, Christine J.
6637df2a-0204-4e48-951c-6a95e661627d
Hare, Jonathon S., Lewis, Paul H., Enser, Peter G. B. and Sandom, Christine J.
(2007)
Semantic Facets: An in-depth Analysis of a Semantic Image Retrieval System.
ACM CIVR 2007: The 6th International Conference on Image and Video Retrieval, Amsterdam, The, Netherlands.
09 - 11 Jul 2007.
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Conference or Workshop Item
(Paper)
Abstract
This paper introduces a faceted model of image semantics which attempts to express the richness of semantic content interpretable within an image. Using a large image data-set from a museum collection the paper shows how the facet representation can be applied. The second half of the paper describes our semantic retrieval system, and demonstrates its use with the museum image collection. A retrieval evaluation is performed using the system to investigate how the retrieval performance varies with respect to each of the facet categories. A number of factors related to the image data-set that affect the quality of retrieval are also discussed.
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Published date: 2007
Additional Information:
Event Dates: 9-11 July
Venue - Dates:
ACM CIVR 2007: The 6th International Conference on Image and Video Retrieval, Amsterdam, The, Netherlands, 2007-07-09 - 2007-07-11
Keywords:
Image Retrieval, evaluation, semantic facets
Organisations:
Web & Internet Science
Identifiers
Local EPrints ID: 264322
URI: http://eprints.soton.ac.uk/id/eprint/264322
PURE UUID: 5a6739fb-5719-4e46-94c6-32955a53b3dc
Catalogue record
Date deposited: 17 Jul 2007
Last modified: 15 Mar 2024 03:25
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Contributors
Author:
Jonathon S. Hare
Author:
Paul H. Lewis
Author:
Peter G. B. Enser
Author:
Christine J. Sandom
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