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Integrated Image Content and Metadata Search and Retrieval across Multiple Databases

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Image and Video Retrieval (CIVR 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2728))

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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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Author information

Authors and Affiliations

  1. IT Innovation, University of Southampton, SO16 7NP, UK

    Matthew Addis, Mike Boniface, Paul Grimwood & Alison Stevenson

  2. Department of Electronics and Computer Science, University of Southampton, SO17 1BJ, UK

    S. Goodall, Sanghee Kim, Paul Lewis & Kirk Martinez

Authors
  1. Matthew Addis
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  2. Mike Boniface
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  3. S. Goodall
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  4. Paul Grimwood
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  5. Sanghee Kim
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  6. Paul Lewis
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  7. Kirk Martinez
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  8. Alison Stevenson
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Editor information

Editors and Affiliations

  1. LIACS Media Lab, Leiden University, Niels Bohrweg 1, 2333 CA, Leiden, The Netherlands

    Erwin M. Bakker  & Michael S. Lew  & 

  2. Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, 405 N. Mathews Avenue, Urbana, IL, 61801, USA

    Thomas S. Huang

  3. University of Amsterdam, Kruislaan 403, 1098 SJ, Amsterdam, The Netherlands

    Nicu Sebe

  4. Siemens Corporate Research, 755 College Road East, Princeton, NJ, 08540, USA

    Xiang Sean Zhou

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© 2003 Springer-Verlag Berlin Heidelberg

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Addis, M. et al. (2003). Integrated Image Content and Metadata Search and Retrieval across Multiple Databases. In: Bakker, E.M., Lew, M.S., Huang, T.S., Sebe, N., Zhou, X.S. (eds) Image and Video Retrieval. CIVR 2003. Lecture Notes in Computer Science, vol 2728. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45113-7_10

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  • DOI: https://doi.org/10.1007/3-540-45113-7_10

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40634-1

  • Online ISBN: 978-3-540-45113-6

  • eBook Packages: Springer Book Archive

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