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Retrieval of Pictures Using Approximate Matching

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Multimedia Database Systems

Part of the book series: Artificial Intelligence ((AI))

Summary

In this paper, we describe a general-purpose picture retrieval system based on approximate matching. This system accommodates pictorial databases for a broad class of applications. It consists of tools for handling the following aspects—user interfaces, reasoning about spatial relationships, computing degrees of similarity between queries and pictures. We briefly describe the model that is used for representing pictures/queries, the user interface, the system for reasoning about spatial relationships, and the methods employed for computation of similarities of pictures with respect to queries.

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Author information

Authors and Affiliations

  1. Department of Electrical Engineering and Computer Science, University of Illinois at Chicago, Chicago, Illinois, USA, 60680

    A. Prasad Sistla & Clement Yu

Authors
  1. A. Prasad Sistla
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  2. Clement Yu
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Editor information

Editors and Affiliations

  1. Computer Science Department, University of Maryland, College Park, MD, 20742, USA

    V. S. Subrahmanian

  2. Dept. of Information and Software Systems Engineering, George Mason University, VA, 22030, Fairfax, USA

    Sushil Jajodia

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© 1996 Springer-Verlag Berlin Heidelberg

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Sistla, A.P., Yu, C. (1996). Retrieval of Pictures Using Approximate Matching. In: Subrahmanian, V.S., Jajodia, S. (eds) Multimedia Database Systems. Artificial Intelligence. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-60950-3_4

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  • DOI: https://doi.org/10.1007/978-3-642-60950-3_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-64622-5

  • Online ISBN: 978-3-642-60950-3

  • eBook Packages: Springer Book Archive

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