Integrated image content and metadata search and retrieval across multiple databases.
Integrated image content and metadata search and retrieval across multiple databases.
Abstract. This paper presents an updated technical overview of an integrated content and metadata-based image retrieval system used by several major art galleries in Europe including the Louvre in Paris, the Victoria and Albert Museum in London, the Uffizi Gallery in Florence and the National Gallery in London. In our approach, the subjects of a query (e.g. images, textual metadata attributes), the operators used in a query (e.g. SimilarTo, Contains, Equals) and the rules that constrain the query (e.g. SimilarTo can only be applied to Images) are all explicitly defined and published for each gallery collection. In this way, cross-collection queries are dynamically constructed and executed in a way that is automatically constrained to the capabilities of the particular image collections being searched. The application of existing, standards based, technology to integrate metadata and content based queries underpins an open standards approach to extending interoperability across multiple image databases.
Image retrieval, Image processing, Image databases
3-540-40634-4
91-100
Addis, M J
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Boniface, M J
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Goodall, S
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Grimwood, P
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Kim, S
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Lewis, P
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Martinez, K
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Stevenson, A
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Bakker, Ermin M.
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Huang, Thomas S.
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Lew, Michael S.
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2003
Addis, M J
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Boniface, M J
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Goodall, S
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Grimwood, P
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Kim, S
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Lewis, P
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Martinez, K
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Stevenson, A
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Bakker, Ermin M.
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Huang, Thomas S.
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Lew, Michael S.
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Addis, M J, Boniface, M J, Goodall, S, Grimwood, P, Kim, S, Lewis, P, Martinez, K and Stevenson, A
(2003)
Integrated image content and metadata search and retrieval across multiple databases.
Bakker, Ermin M., Huang, Thomas S. and Lew, Michael S.
(eds.)
Second International Conference on Image and Video Retrieval 2003, Urbana-Champaign, Illinois, United States.
.
Record type:
Conference or Workshop Item
(Paper)
Abstract
Abstract. This paper presents an updated technical overview of an integrated content and metadata-based image retrieval system used by several major art galleries in Europe including the Louvre in Paris, the Victoria and Albert Museum in London, the Uffizi Gallery in Florence and the National Gallery in London. In our approach, the subjects of a query (e.g. images, textual metadata attributes), the operators used in a query (e.g. SimilarTo, Contains, Equals) and the rules that constrain the query (e.g. SimilarTo can only be applied to Images) are all explicitly defined and published for each gallery collection. In this way, cross-collection queries are dynamically constructed and executed in a way that is automatically constrained to the capabilities of the particular image collections being searched. The application of existing, standards based, technology to integrate metadata and content based queries underpins an open standards approach to extending interoperability across multiple image databases.
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civr_photoready2.pdf
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More information
Published date: 2003
Additional Information:
Event Dates: July,2003
Venue - Dates:
Second International Conference on Image and Video Retrieval 2003, Urbana-Champaign, Illinois, United States, 2003-07-01
Keywords:
Image retrieval, Image processing, Image databases
Organisations:
Web & Internet Science, Electronics & Computer Science, IT Innovation
Identifiers
Local EPrints ID: 258915
URI: http://eprints.soton.ac.uk/id/eprint/258915
ISBN: 3-540-40634-4
PURE UUID: 4b85e91c-34aa-4379-aaf7-479619fd3eac
Catalogue record
Date deposited: 08 Mar 2004
Last modified: 15 Mar 2024 03:09
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Contributors
Author:
M J Addis
Author:
S Goodall
Author:
P Grimwood
Author:
S Kim
Author:
P Lewis
Author:
K Martinez
Author:
A Stevenson
Editor:
Ermin M. Bakker
Editor:
Thomas S. Huang
Editor:
Michael S. Lew
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