Automatic Annotation of Images from the Practitioner Perspective
Automatic Annotation of Images from the Practitioner Perspective
This paper describes an ongoing project which seeks to contribute to a wider understanding of the realities of bridging the semantic gap in visual image retrieval. A comprehensive survey of the means by which real image retrieval transactions are realised is being undertaken. An image taxonomy has been developed, in order to provide a framework within which account may be taken of the plurality of image types, user needs and forms of textual metadata. Significant limitations exhibited by current automatic annotation techniques are discussed, and a possible way forward using ontologically supported automatic content annotation is briefly considered as a potential means of mitigating these limitations.
978-3-540-27858-0
497-506
Enser, Peter G.B.
ab509df4-8973-4a45-aeb9-70a4ae3fbe9a
Sandom, Christine J.
6637df2a-0204-4e48-951c-6a95e661627d
Lewis, Paul
7aa6c6d9-bc69-4e19-b2ac-a6e20558c020
2005
Enser, Peter G.B.
ab509df4-8973-4a45-aeb9-70a4ae3fbe9a
Sandom, Christine J.
6637df2a-0204-4e48-951c-6a95e661627d
Lewis, Paul
7aa6c6d9-bc69-4e19-b2ac-a6e20558c020
Enser, Peter G.B., Sandom, Christine J. and Lewis, Paul
(2005)
Automatic Annotation of Images from the Practitioner Perspective.
Lecture Notes in Computer Science, LNCS 3, .
Abstract
This paper describes an ongoing project which seeks to contribute to a wider understanding of the realities of bridging the semantic gap in visual image retrieval. A comprehensive survey of the means by which real image retrieval transactions are realised is being undertaken. An image taxonomy has been developed, in order to provide a framework within which account may be taken of the plurality of image types, user needs and forms of textual metadata. Significant limitations exhibited by current automatic annotation techniques are discussed, and a possible way forward using ontologically supported automatic content annotation is briefly considered as a potential means of mitigating these limitations.
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Published date: 2005
Additional Information:
Event Dates: 20-22 July 2005
Venue - Dates:
4th International Conference on Image and Video Retrieval 2005, Singapore, 2005-07-20 - 2005-07-22
Organisations:
Web & Internet Science
Identifiers
Local EPrints ID: 266939
URI: http://eprints.soton.ac.uk/id/eprint/266939
ISBN: 978-3-540-27858-0
ISSN: 0302-9743
PURE UUID: 6fafe07a-d6c7-4cb8-ac9f-a9f0cc2a6e40
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Date deposited: 24 Nov 2008 11:40
Last modified: 14 Mar 2024 08:39
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Contributors
Author:
Peter G.B. Enser
Author:
Christine J. Sandom
Author:
Paul Lewis
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