Review Of Content Based Image Retrieval In P2p Environment With Relevance Feedback

Abstract

Currently, most of the CBIR systems are based on the centralized computing model. Some are stand-alone applications while others are web-based systems. A centralized system maintains central nodes to handle the query requests. It keeps the entire feature descriptor database in a centralized server. Upon retrieving the relevant images according to feature similarity measures, the content will be transferred directly from the content server to the requesting host. The drawback of the centralized system is its limited scalability for handling growing volumes of retrieval requests and large image databases. The worldwide infrastructure of computers and networks created an exciting opportunity for collecting vast amounts of data and for sharing computers and resources on an unprecedented scale. In the last few years, the emerging Peer-to Peer (P2P) model has become a very powerful and attractive paradigm for developing Internet-scale file systems and sharing resources. This paper explores the various approaches and efforts for design of content-based image retrieval in P2P Environment.