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An Image Data Model

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Book cover Advances in Visual Information Systems (VISUAL 2000)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1929))

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Abstract

In this paper, we analyze the existing approaches to image data modeling and we propose an image data model and a particular image representation in the proposed model. This model establishes a taxonomy based on a systematization over existing approaches. The image layouts in the model are described in semantic hierarchies. The representation is applicable to a wide variety of image collections. An example for applying the model to a plant picture is given.

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Author information

Authors and Affiliations

  1. Department of Computer Science, Wayne State University, MI 48202, Detroit

    William I. Grosky & Peter L. Stanchev

Authors
  1. William I. Grosky
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  2. Peter L. Stanchev
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Editor information

Editors and Affiliations

  1. Claude Bernard University of Lyon, LISI - 502, INSA de Lyon, 69621, Villeurbanne Cedex, France

    Robert Laurini

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© 2000 Springer-Verlag Berlin Heidelberg

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Grosky, W.I., Stanchev, P.L. (2000). An Image Data Model. In: Laurini, R. (eds) Advances in Visual Information Systems. VISUAL 2000. Lecture Notes in Computer Science, vol 1929. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-40053-2_2

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  • DOI: https://doi.org/10.1007/3-540-40053-2_2

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-41177-2

  • Online ISBN: 978-3-540-40053-0

  • eBook Packages: Springer Book Archive

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