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Proceedings Paper

Image retrieval and pattern recognition
Author(s): Bo Tao; Bradley W. Dickinson
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Paper Abstract

In this work, we study the relationship between content- based image retrieval and pattern recognition, by modeling the image retrieval process in a probabilistic method. A model called random image database will be presented, together with a retrieval quality measure called probability of self similar, which enables us to establish the link between image retrieval and pattern recognition. The main result is that such a quality measure is uniformly upperbounded by its pattern recognition counterpart using nearest neighbor rule, when only one training sample is available for each class. Therefore a feature measure having better performance in the one training sample per class case should be favored over features doing well in large training sample situations.

Paper Details

Date Published: 1 November 1996
PDF: 10 pages
Proc. SPIE 2916, Multimedia Storage and Archiving Systems, (1 November 1996); doi: 10.1117/12.257283
Show Author Affiliations
Bo Tao, Princeton Univ. (United States)
Bradley W. Dickinson, Princeton Univ. (United States)


Published in SPIE Proceedings Vol. 2916:
Multimedia Storage and Archiving Systems
C.-C. Jay Kuo, Editor(s)

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