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CLIMS — A System for Image Retrieval by Using Colour and Wavelet Features

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Advances in Information Systems (ADVIS 2000)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1909))

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Abstract

In this paper a system called CLIMS (CLausthal Image Management System) for content based image retrieval as an important subsystem of a general multimedia database is presented. It offers querying by sketch and image example and uses colour and wavelet based features for the comparison of images. Each image in the database is represented by a set of wavelet coefficients and colour attributes, which form the fundament for the retrieval.

In order to enable efficient similarity search two index structures, VP-Trees and Lq metric, are introduced and discussed. With the extension of the original VP-tree algorithm a ranking of the n most similar images is possible. The efficiency of the proposed retrieval methods is evaluated on a sample, general image catalogue.

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Author information

Authors and Affiliations

  1. Department of Computer Science, Technical University of Clausthal, Julius-Albert-Strasse 4, D-38678, Clausthal-Zellerfeld, Germany

    O. Kao & I. la Tendresse

Authors
  1. O. Kao
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  2. I. la Tendresse
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Editor information

Editors and Affiliations

  1. Computer Engineering Department, Dokuz Eylul University, Bornova, 35100, Izmir, Turkey

    Tatyana Yakhno

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© 2000 Springer-Verlag Berlin Heidelberg

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Kao, O., la Tendresse, I. (2000). CLIMS — A System for Image Retrieval by Using Colour and Wavelet Features. In: Yakhno, T. (eds) Advances in Information Systems. ADVIS 2000. Lecture Notes in Computer Science, vol 1909. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-40888-6_22

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  • DOI: https://doi.org/10.1007/3-540-40888-6_22

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-41184-0

  • Online ISBN: 978-3-540-40888-8

  • eBook Packages: Springer Book Archive

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