A New Keyword and Content-Based Image Retrieval by Clustering

The CLUster-based rEtrieval(CLUE), groups the image based on the similarity measure, so that there is maximum similarity with in the cluster and minimum similarity between the two cluster and then retrieve the images related to the query. The cluster based retrieval of images tackles the semantic gap problem. The Content-Based Image Retrieval (CBIR) extract the feature of the images and the images with maximum similarity with that of the query is retrieved. This paper makes use of both the concept to retrieve the images. The CBIR system-using CLUE is called as Content-Based Image Clusters Retrieval (CBICR). The keyword-based retrieval along with the CBIR system retrieves the relevant images more effectively and it consumes less amount of time. The keyword based retrieval is done and the Nearest Neighbor Method is used to locate neighbor of the target image. The N-cut algorithm is used to organize the cluster.