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Issue No.09 - September (1999 vol.21)
pp: 871-883
ABSTRACT
<p><b>Abstract</b>—With complex multimedia data, we see the emergence of database systems in which the fundamental operation is <it>similarity assessment</it>. Before database issues can be addressed, it is necessary to give a definition of similarity as an operation. In this paper, we develop a similarity measure, based on fuzzy logic, that exhibits several features that match experimental findings in humans. The model is dubbed <it>Fuzzy Feature Contrast</it> (FFC) and is an extension to a more general domain of the Feature Contrast model due to Tversky. We show how the FFC model can be used to model similarity assessment from fuzzy judgment of properties, and we address the use of fuzzy measures to deal with dependencies among the properties.</p>
INDEX TERMS
Similarity measures, content-based retrieval, image databases, perceptual similarity, image distances.
CITATION
Simone Santini, Ramesh Jain, "Similarity Measures", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol.21, no. 9, pp. 871-883, September 1999, doi:10.1109/34.790428
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