Arirs: Association Rule Based Image Retrieval System
نویسندگان
چکیده
A new image retrieval system based on association rule (ARIRS) is described in this paper. Association rules have been used in application such as market basket analysis to capture relationships presented among items in large data sets. It is shown that association rules are able to find the frequent item pairs. In the image retrieval system, user’s interaction is a very important part. But it is not easy for the user to specify their query. Relevance feedback is a commonly used technique for the image retrieval system to interactively interpret the user’s desire. Here, we present a new scheme for mining the relevance feedback using association rules. The proposed scheme automatically establish the semantic association among images by mining the previous users’ browsing and relevance feedback. Then images are retrieved based on their semantic association. Experimental results show promising performance of the proposed scheme.
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