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International Conference on Database and Expert Systems Applications

DEXA 2001: Database and Expert Systems Applications pp 232–242Cite as

An Information-Driven Framework for Image Mining

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2113))

Abstract

Image mining systems that can automatically extract semantically meaningful information (knowledge) from image data are increasingly in demand. The fundamental challenge in image mining is to determine how lowlevel, pixel representation contained in a raw image or image sequence can be processed to identify high-level spatial objects and relationships. To meet this challenge, we propose an efficient information-driven framework for image mining. We distinguish four levels of information: the Pixel Level, the Object Level, the Semantic Concept Level, and the Pattern and Knowledge Level. High-dimensional indexing schemes and retrieval techniques are also included in the framework to support the flow of information among the levels. We believe this framework represents the first step towards capturing the different levels of information present in image data and addressing the issues and challenges of discovering useful patterns/knowledge from each level.

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Author information

Authors and Affiliations

  1. School of Computing, National University of Singapore, Singapore

    Ji Zhang, Wynne Hsu & Mong Li Lee

Authors
  1. Ji Zhang
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  2. Wynne Hsu
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  3. Mong Li Lee
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Editor information

Editors and Affiliations

  1. University of Klagenfurt, IFI -IWAS Universitaetsstr. 65, 9020, Klagenfurt, Austria

    Heinrich C. Mayr

  2. Faculty of Electrical Engineering, Czech Technical University, Technicka 2, 166 27, Prague 6, Czech Republic

    Jiri Lazansky

  3. School of Computer and Information Science, University of South Australia, Mawson Lakes Campus, Mawson Lakes, SA, 5095

    Gerald Quirchmayr

  4. Department of Information Systems, Technical University of Munich, Orleanstr. 34, 81667, Munich, Germany

    Pavel Vogel

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© 2001 Springer-Verlag Berlin Heidelberg

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Zhang, J., Hsu, W., Li Lee, M. (2001). An Information-Driven Framework for Image Mining. In: Mayr, H.C., Lazansky, J., Quirchmayr, G., Vogel, P. (eds) Database and Expert Systems Applications. DEXA 2001. Lecture Notes in Computer Science, vol 2113. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44759-8_24

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  • DOI: https://doi.org/10.1007/3-540-44759-8_24

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42527-4

  • Online ISBN: 978-3-540-44759-7

  • eBook Packages: Springer Book Archive

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