A CCBIR System using Associative Mining Techniques for Semantic Search Engines

Due to the increase in the size of World Wide Web, content based retrieval becomes more challenging and also it provides a lot of irrelevant results. We propose a new ‘Concept and Content based Image Retrieval Technique’ to provide exact results. We use associative mining technique with the semantic concepts. Our methodology indexes the images according to semantic concepts and generates association, which will be used for image retrieval. We extract the high level concepts and low level features. The extracted feature vectors are indexed to a semantic concept, and we generate association rules, using which the retrieval is done. We use both the visual and texture features to represent the semantic concept. This CCBIR is very helpful in both data collection and modeling large scale image data bases.