A New Approach for Information Retrieval in Multimodal Fusion using Association Rule Mining

The retrieving method proposed in this paper utilizes the fusion of the images multimodal information (textual and visual) which is a recent trend in image retrieval researches. It combines two different data mining techniques to retrieve semantically related images clustering and Frequent Pattern Tree Based Algorithm. This clustering technique is constructed at the offline phase where the frequent pattern rules are discovered between the text semantic clusters and the visual clusters of the images to use it later at the online phase. The experiment was conducted on images of Wikipedia collection.