Similarity is a Geometer

Authors:
Simone Santini;Ramesh Jain
Affiliations:
Department of Computer Science and Engineering, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093-0114. E-mail: ssantini@cs.ucsd.edu;Department of Electrical and Computer Engineering, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093-0407. E-mail: jain@ece.ucsd.edu
Venue:
Multimedia Tools and Applications
Year:
1997

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Abstract

Multimedia databases (in particular image databases) aredifferent from traditional system since they cannot ignore theperceptual substratum on which the data come. There are severalconsequences of this fact. The most relevant for our purposes is thatit is no longer possible to identify a well defined meaning of an image and, therefore, matching based on meaning is impossible.Matching should be replaced by similarity assessment and, inparticular, by something close to human preattentive similarity.In this paper we propose a geometric model of similarity measurementthat subsumes most of the models proposed for psychologicalsimilarity.