Enhance the Technique of Relevance Feedback for Content-based Multimedia Retrieval by using Mining Algorithm

Abstract

Today images, multimedia are immensely important in information retrieval system. In existing relevance feedback technique , there is semantic gap between high level concepts and low level features of images as well as videos, another drawback is according to user requirement we cannot retrieve relevant multimedia data (images, videos) from multimedia database and image database. To overcome from this drawback in Content based Multimedia Retrieval (CBMR), using navigation pattern relevance feedback technique to retrieve most relevant videos, images from multimedia data according to user requirement. To provide efficient and effective retrieval of content based multimedia data and images from multimedia database like video data, images by using relevance feedback technique and mining algorithm. General Terms Data mining algorithm: K-means, Apriori algorithm.