Online image retrieval system based on Markov chain and Relevance Feedback for mining user queries

ABSTRACT Today Image retrieval is important concept when we work with different real time applications. Dealing with large database is very tedious task so Annotation Based Image Retrieval is the technique which is used to retrieve the similar images according to the query provided by user. Query may be in the form of image called Content Based Image Retrieval or it may be in the form of text. But content based image retrieval technique having certain limitations in terms of retrieval speed and time. Hence Annotation Based Image Retrieval technique is used to retrieve the images from large database. Relevance Feedback method along with Markov chain method is basically used to speed up the performance of Image retrieval method.