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A Statistical Correlation Model for Image Retrieval


Mingjing Li, Zheng Chen, Liu Wenyin, and Hong-Jiang Zhang

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Return to IMAGE RETRIEVAL II


Abstract

A bigram correlation model for image retrieval is proposed, which captures the semantic relationships among images in a database from simple statistics of users' relevance feedback information. It is used in the post-processing of image retrieval results such that more semantically related images are returned to the user. The algorithm is easy to implement and can be efficiently integrated into an image retrieval system to help improve the retrieval performance. Preliminary experimental results on a database of 100,000 images are very promising.


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