1 November 1996 Image retrieval and pattern recognition
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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.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Bo Tao, Bo Tao, Bradley W. Dickinson, Bradley W. Dickinson, } "Image retrieval and pattern recognition", Proc. SPIE 2916, Multimedia Storage and Archiving Systems, (1 November 1996); doi: 10.1117/12.257283; https://doi.org/10.1117/12.257283
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