An Integrated Content and Metadata based Retrieval System for Art
An Integrated Content and Metadata based Retrieval System for Art
In this paper we describe aspects of the Artiste project to develop a distributed content and metadata based analysis, retrieval and navigation system for a number of major European Museums. In particular, after a brief overview of the complete system, we describe the design and evaluation of some of the image analysis algorithms developed to meet the specific requirements of the users from the museums. These include a method for retrievals based on sub images, retrievals based on very low quality images and retrieval using craquelure type.
image processing, content based retrieval, cultural heritage
302-313
Lewis, Paul H
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Martinez, Kirk
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Abas, Fazly S
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Ahmad Fauzi, Mohammad F
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Addis, Matthew
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Lahanier, Christian
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Stevenson, James
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Chan, Stephen C. Y.
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Mike J., Boniface
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Paul, Grimwood
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Cappellini, V
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Maitre, H
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Pitas, I
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Piva, A
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March 2004
Lewis, Paul H
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Martinez, Kirk
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Abas, Fazly S
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Ahmad Fauzi, Mohammad F
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Addis, Matthew
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Lahanier, Christian
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Stevenson, James
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Chan, Stephen C. Y.
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Mike J., Boniface
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Paul, Grimwood
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Cappellini, V
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Maitre, H
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Pitas, I
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Piva, A
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Lewis, Paul H, Martinez, Kirk, Abas, Fazly S, Ahmad Fauzi, Mohammad F, Addis, Matthew, Lahanier, Christian, Stevenson, James, Chan, Stephen C. Y., Mike J., Boniface and Paul, Grimwood
,
Cappellini, V, Maitre, H, Pitas, I and Piva, A
(eds.)
(2004)
An Integrated Content and Metadata based Retrieval System for Art.
IEEE Transactions on Image Processing, 13 (3), .
Abstract
In this paper we describe aspects of the Artiste project to develop a distributed content and metadata based analysis, retrieval and navigation system for a number of major European Museums. In particular, after a brief overview of the complete system, we describe the design and evaluation of some of the image analysis algorithms developed to meet the specific requirements of the users from the museums. These include a method for retrievals based on sub images, retrievals based on very low quality images and retrieval using craquelure type.
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Published date: March 2004
Keywords:
image processing, content based retrieval, cultural heritage
Organisations:
Web & Internet Science, Electronics & Computer Science, IT Innovation
Identifiers
Local EPrints ID: 258879
URI: http://eprints.soton.ac.uk/id/eprint/258879
ISSN: 1057-7149
PURE UUID: 4acc966a-da7c-48e5-9cae-a425173b8331
Catalogue record
Date deposited: 04 May 2004
Last modified: 15 Mar 2024 02:53
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Contributors
Author:
Paul H Lewis
Author:
Kirk Martinez
Author:
Fazly S Abas
Author:
Mohammad F Ahmad Fauzi
Author:
Matthew Addis
Author:
Christian Lahanier
Author:
James Stevenson
Author:
Stephen C. Y. Chan
Author:
Boniface Mike J.
Author:
Grimwood Paul
Editor:
V Cappellini
Editor:
H Maitre
Editor:
I Pitas
Editor:
A Piva
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