Paper Info
Title
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.
Year
DOI
Venue
2003
10.1007/3-540-45113-7_10
CIVR
Keywords
Field
DocType
gallery collection,national gallery,multiple image databases,integrated content,uffizi gallery,textual metadata attribute,albert museum,particular image collection,metadata-based image retrieval system,cross-collection query,integrated image content,metadata search,multiple databases,open standard,image retrieval
Open standard,Metadata,World Wide Web,Content analysis,Information retrieval,Computer science,Interoperability,Image retrieval,Distributed database,Digital library,Database,RDF
Conference
Volume
ISSN
ISBN
2728
0302-9743
3-540-40634-4
Citations 
PageRank 
References 
4
0.77
7
Authors
8
Name
Order
Citations
PageRank
Matthew Addis1127395.11
Mike Boniface2152.17
S. Goodall340.77
Paul Grimwood4475.70
S. Kim527023.89
Paul Lewis641.11
Kirk Martinez721634.34
Alison Stevenson8475.70