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Bridging the Semantic Gap in Multimedia Information Retrieval: Top-down and Bottom-up approaches

Bridging the Semantic Gap in Multimedia Information Retrieval: Top-down and Bottom-up approaches
Bridging the Semantic Gap in Multimedia Information Retrieval: Top-down and Bottom-up approaches
Semantic representation of multimedia information is vital for enabling the kind of multimedia search capabilities that professional searchers require. Manual annotation is often not possible because of the shear scale of the multimedia information that needs indexing. This paper explores the ways in which we are using both top-down, ontologically driven approaches and bottom-up, automatic-annotation approaches to provide retrieval facilities to users. We also discuss many of the current techniques that we are investigating to combine these top-down and bottom-up approaches.
Semantic representation, Image retrieval, annotation, ontologies, auto-annotation
Hare, Jonathon S.
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Sinclair, Patrick A. S.
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Lewis, Paul H.
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Martinez, Kirk
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Enser, Peter G.B.
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Sandom, Christine J.
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Bouquet, Paolo
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Brunelli, Roberto
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Chanod, Jean-Pierre
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Niederée, Claudia
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Stoermer, Heiko
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Hare, Jonathon S.
65ba2cda-eaaf-4767-a325-cd845504e5a9
Sinclair, Patrick A. S.
b3480b8c-893a-4cb9-bc5f-edc80b567383
Lewis, Paul H.
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Martinez, Kirk
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Enser, Peter G.B.
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Sandom, Christine J.
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Bouquet, Paolo
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Brunelli, Roberto
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Chanod, Jean-Pierre
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Niederée, Claudia
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Stoermer, Heiko
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Hare, Jonathon S., Sinclair, Patrick A. S., Lewis, Paul H., Martinez, Kirk, Enser, Peter G.B. and Sandom, Christine J. (2006) Bridging the Semantic Gap in Multimedia Information Retrieval: Top-down and Bottom-up approaches. Bouquet, Paolo, Brunelli, Roberto, Chanod, Jean-Pierre, Niederée, Claudia and Stoermer, Heiko (eds.) Mastering the Gap: From Information Extraction to Semantic Representation / 3rd European Semantic Web Conference, Budva, Montenegro.

Record type: Conference or Workshop Item (Paper)

Abstract

Semantic representation of multimedia information is vital for enabling the kind of multimedia search capabilities that professional searchers require. Manual annotation is often not possible because of the shear scale of the multimedia information that needs indexing. This paper explores the ways in which we are using both top-down, ontologically driven approaches and bottom-up, automatic-annotation approaches to provide retrieval facilities to users. We also discuss many of the current techniques that we are investigating to combine these top-down and bottom-up approaches.

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More information

Published date: 2006
Additional Information: Event Dates: 12 June 2006
Venue - Dates: Mastering the Gap: From Information Extraction to Semantic Representation / 3rd European Semantic Web Conference, Budva, Montenegro, 2006-06-12
Keywords: Semantic representation, Image retrieval, annotation, ontologies, auto-annotation
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 262737
URI: http://eprints.soton.ac.uk/id/eprint/262737
PURE UUID: d8cacf5f-5701-41e5-a8a0-56e97e918b4d
ORCID for Jonathon S. Hare: ORCID iD orcid.org/0000-0003-2921-4283
ORCID for Kirk Martinez: ORCID iD orcid.org/0000-0003-3859-5700

Catalogue record

Date deposited: 20 Jun 2006
Last modified: 15 Mar 2024 03:25

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Contributors

Author: Jonathon S. Hare ORCID iD
Author: Patrick A. S. Sinclair
Author: Paul H. Lewis
Author: Kirk Martinez ORCID iD
Author: Peter G.B. Enser
Author: Christine J. Sandom
Editor: Paolo Bouquet
Editor: Roberto Brunelli
Editor: Jean-Pierre Chanod
Editor: Claudia Niederée
Editor: Heiko Stoermer

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