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Efficient content-based image retrieval using automatic feature selection

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2 Author(s)
Swets, D.L. ; Dept. of Comput. Sci., Michigan State Univ., East Lansing, MI, USA ; Weng, J.J.

We describe a self-organizing framework for content-based retrieval of images from large image databases at the object recognition level. The system uses the theories of optimal projection for optimal feature selection and a hierarchical image database for rapid retrieval rates. We demonstrate the query technique on a large database of widely varying real-world objects in natural settings, and show the applicability of the approach even for large variability within a particular object class

Published in:
Computer Vision, 1995. Proceedings., International Symposium on

Date of Conference: 21-23 Nov 1995

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