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EMIR2. An extended model for image representation and retrieval

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Database and Expert Systems Applications (DEXA 1995)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 978))

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Abstract

This paper presents an extended model for image representation and retrieval called EMIR2. This model combines different interpretations of the image to build a complete description of it, each interpretation being represented by a particular view. The set of views considered in EMIR2 include the physical view and the logical view, which is an aggregation of four main views: the structural view, the spatial view, the perceptive view, and the symbolic view. A first description of the model concepts is given using the BNF (Backus Normal Form) notation, yielding the framework EMIR2-BNF. We defined a first operational model suitable for information retrieval, that implements the concepts defined in EMIR2, and a correspondence function that estimates the similarity between two images. This operational model, called EMIR2 -CG, is based upon an extension of Sowa's conceptual graph formalism.

This work has been partially funded by the EEC under Basic Research Action FERMI, nℴ 8134.

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Authors and Affiliations

  1. Laboratoire de Génie Informatique, IMAG, BP 53, 38041, Grenoble cedex 9, France

    Mourad Mechkour

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  1. Mourad Mechkour
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Norman Revell A Min Tjoa

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© 1995 Springer-Verlag Berlin Heidelberg

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Mechkour, M. (1995). EMIR2. An extended model for image representation and retrieval. In: Revell, N., Tjoa, A.M. (eds) Database and Expert Systems Applications. DEXA 1995. Lecture Notes in Computer Science, vol 978. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0049137

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  • DOI: https://doi.org/10.1007/BFb0049137

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-60303-0

  • Online ISBN: 978-3-540-44790-0

  • eBook Packages: Springer Book Archive

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