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Heuristic similarity measure characterization for content-based image retrieval

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2 Author(s)
Peng, W.S. ; Med. Inf. & Comput. Intelligence Lab., Maryland Univ., College Park, MD, USA ; DeClaris, N.

Similarity measures are functions which describe the degree of likeness between two objects. We propose a method of using domain-specific expert knowledge to infer a functional similarity measure between objects in that domain. Using a user interface and a collection of exemplar objects, an expert interactively constructs the similarity structure of the domain under consideration. From the expert rankings and dissimilarity assignments, a vector representation of the exemplar objects is found. A neural network is then trained to find a similarity measure, which then can be used for indexing and content based retrieval. Using this approach, a system for retrieval of simple three-dimensional polyhedra is implemented

Published in:

Systems, Man, and Cybernetics, 1997. Computational Cybernetics and Simulation., 1997 IEEE International Conference on  (Volume:1 )

Date of Conference:

12-15 Oct 1997

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