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An image retrieval system based on the visualization of system relevance via documents

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Database and Expert Systems Applications (DEXA 1997)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1308))

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Abstract

This paper describes a system for an image retrieval system in which relevance related and system-use related user strategies can be performed. The query supports, in addition to classical topical inputs, strategic parameters that can be set by the user, either directly or via the visualization of retrieved images that are organized with respect to which relevance criteria are verified. Typical retrieval situations are defined, that account for the dynamic aspect of a given retrieval session.

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Authors and Affiliations

  1. CLIPS IMAG-Campus, BP 53, F-38041, Grenoble Cedex, France

    Nathalie Denos, Catherine Berrut & Mourad Mechkour

Authors
  1. Nathalie Denos
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  2. Catherine Berrut
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  3. Mourad Mechkour
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Editor information

Abdelkader Hameurlain A Min Tjoa

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© 1997 Springer-Verlag Berlin Heidelberg

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Denos, N., Berrut, C., Mechkour, M. (1997). An image retrieval system based on the visualization of system relevance via documents. In: Hameurlain, A., Tjoa, A.M. (eds) Database and Expert Systems Applications. DEXA 1997. Lecture Notes in Computer Science, vol 1308. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0022033

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  • DOI: https://doi.org/10.1007/BFb0022033

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63478-2

  • Online ISBN: 978-3-540-69580-6

  • eBook Packages: Springer Book Archive

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