Reliable And Ascendable Content Based Image Retrieval Aproach In Peer To Peer Networks

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S.Brindha
N.Kavitha
R.Manjula
K.Vishnupriy

Abstract

The peer to peer network is one of the major networks in now days, due to the accessing and sharing of data with minimum end to end delay. There are different types of image retrieval is present, so this project concentrates on the analysis of the different technology use for the image retrieval. Image retrieval is one of the major tasks from the internet, if we want any particular image we don’t get that exact image from the large variety of set, so this project introduce the efficient method for image retrieval. In this project, we present experiments with efficient Content Based Image Retrieval in a P2P environment, thus a P2P-CBIR system.We propose a CBIR scheme based on codebook generation . A dynamic codebook updating method by optimizing the mutual information between the resultant codebook and relevance information, and the workload balance among nodes that manage different codewords.Experimental results will prove the effectiveness of the approach.

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How to Cite
S.Brindha, N.Kavitha, R.Manjula, & K.Vishnupriy. (2022). Reliable And Ascendable Content Based Image Retrieval Aproach In Peer To Peer Networks. IIRJET, 2(Special Issue ICEIET). Retrieved from https://iirjet.org/index.php/home/article/view/227