Selecting image retrieval parameters with a genetic algorithm

Barry I. Soroka; Steven P. Kerrick

doi:10.1117/12.476250

10 January 2003 Selecting image retrieval parameters with a genetic algorithm

Barry I. Soroka, Steven P. Kerrick

Proceedings Volume 5021, Storage and Retrieval for Media Databases 2003; (2003) https://doi.org/10.1117/12.476250
Event: Electronic Imaging 2003, 2003, Santa Clara, CA, United States

Abstract

Image retrieval (IR) means taking a probe image and finding the most appropriate match in a (possibly very large) image database. Unlike keyword-indexing, our approach is to compute a feature vector (FV) for each image, and to compute the distance from the probe to each image in the database. As a starting point, we studied the system of Jacobs et al., developed at the University of Washington, which used the Haar wavelet transform to produce feature vectors from images. A genetic algorithm developed weighting parameters which yielded significantly improved image retrieval performance.

Citation Download Citation

Barry I. Soroka and Steven P. Kerrick "Selecting image retrieval parameters with a genetic algorithm", Proc. SPIE 5021, Storage and Retrieval for Media Databases 2003, (10 January 2003); https://doi.org/10.1117/12.476250

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