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A Framework for Object-Based Image Retrieval at the Semantic Level

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Visual Information and Information Systems (VISUAL 1999)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1614))

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Abstract

This paper proposes a framework with essential components and processes for object-based image retrieval based on semantically meaningful classes of objects in images. An instantiation of the framework is presented to show the usage of the framework.

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Author information

Authors and Affiliations

  1. Computer Vision and Machine Intelligence Lab, Department of Computer Science and Software Engineering, Melbourne University, Parkville, Vic, 3052, Australia

    Linhui Jia & Leslie Kitchen

Authors
  1. Linhui Jia
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  2. Leslie Kitchen
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Editor information

Editors and Affiliations

  1. Computer Science Department, Leiden University, Niels Bohrweg 1, 2333 CA, Leiden, The Netherlands

    Dionysius P. Huijsmans

  2. Research Institute Computer Science, University of Amsterdam, Kruislaan 403, 1098 SJ, Amsterdam, The Netherlands

    Arnold W. M. Smeulders

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© 1999 Springer-Verlag Berlin Heidelberg

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Jia, L., Kitchen, L. (1999). A Framework for Object-Based Image Retrieval at the Semantic Level. In: Huijsmans, D.P., Smeulders, A.W.M. (eds) Visual Information and Information Systems. VISUAL 1999. Lecture Notes in Computer Science, vol 1614. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48762-X_62

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  • DOI: https://doi.org/10.1007/3-540-48762-X_62

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66079-8

  • Online ISBN: 978-3-540-48762-3

  • eBook Packages: Springer Book Archive

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