OPTIMIZING CONTENT BASED IMAGE RETRIEVAL IN P2P SYSTEMS

Content Based image retrieval (CBIR) is next big thing on search market. Performing content based image retrieval on internet databases connected using P2P network is the scope of our work. In case of unstructured P2P network CBIR has many challenges in terms of routing, match making etc. Authors in [1] have proposed a P2P-CBIR search engine to provide scalable image retrieval which can adaptively control the query scope and progressively define the accuracy of query results. But the problem in this solution is that query search time is high. We take this problem and propose optimizations to work in [1], so that the image search time can be reduced.