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Improved retrieval in a fuzzy database from adjusted user input

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Abstract

We present a flexible retrieval system of face photographs based on their linguistic descriptions in terms of fuzzy predicates. Such expressions are a natural way for describing a (facial) image. However, due to their subjectivity they may lead to a poor performance of the retrieval operation. Regardless of the initial design of a retrieval system its capability ofadjustment to different users becomes very important. This paper explores the use of fuzzy logic techniques, for (i) describing image data, (ii) inference for retrieval, and (iii) inference for adjustment to a new user. The work presented in this paper builds on an earlier image modeling and retrieval system and we demonstrate the feasibility of adjustment to individual users, and the improvement resulting from it.

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Authors and Affiliations

  1. Electronic Information Engineering Division, Takatsuki Research Center, Minolta Corp., Sakuramachi 1-2, 569, Takatsuki-shi, Japan

    S. Fukushima

  2. Electrical and Computer Engineering and Computer Science Department, University of Cincinnati, 45221, Cincinnati, Ohio, USA

    A. L. Ralescu

Authors
  1. S. Fukushima
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  2. A. L. Ralescu
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Additional information

Research done while both authors were with the Laboratory for International Fuzzy Engineering Research (Japan).

This work was partially supported by the NSF Grant INT91-08632.

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Fukushima, S., Ralescu, A.L. Improved retrieval in a fuzzy database from adjusted user input. J Intell Inf Syst 5, 249–274 (1995). https://doi.org/10.1007/BF00962236

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  • DOI: https://doi.org/10.1007/BF00962236

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