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- W2369693700 abstract "An approach for image retrieval using mutual information is based on the visibility of the image and the similarity measurement. The paper first generates a set of statistically representative visual patterns and uses the distributions of these patterns as images content descriptors. And then using the similarity of two images,it develops a method to compute the mutual information between their content descriptors. Two images with larger descriptor mutual information is regarded as more similarity. The experimental results demonstrate that mutual information is a more effective image similarity measurement than others such as KullbackLeibler divergence and L2 norms. It has greater benefits." @default.
- W2369693700 created "2016-06-24" @default.
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- W2369693700 date "2014-01-01" @default.
- W2369693700 modified "2023-09-23" @default.
- W2369693700 title "Application of Mutual Information in Image Retrieval" @default.
- W2369693700 hasPublicationYear "2014" @default.
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