Image retrieval and pattern recognition

Bo Tao; Bradley W. Dickinson

doi:10.1117/12.257283

1 November 1996 Image retrieval and pattern recognition

Bo Tao, Bradley W. Dickinson

Proceedings Volume 2916, Multimedia Storage and Archiving Systems; (1996) https://doi.org/10.1117/12.257283
Event: Photonics East '96, 1996, Boston, MA, United States

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.

Citation Download Citation

Bo Tao and Bradley W. Dickinson "Image retrieval and pattern recognition", Proc. SPIE 2916, Multimedia Storage and Archiving Systems, (1 November 1996); https://doi.org/10.1117/12.257283

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