Distributed content-based visual information retrieval system on peer-to-peer networks
ACM Transactions on Information Systems (TOIS)
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Decision Support Systems
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Proceedings of the 2nd international conference on Ubiquitous information management and communication
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IEEE Transactions on Multimedia
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In this paper, we propose a multimedia information retrieval framework in distributed networks, which is suitable for both cooperative and non-cooperative environments and resistant to biased content summaries. The relations of peers are established and evolved according to their historical interactions, which are computed with a peer reputation model. Peers sharing the same topic tend to group themselves together. The resulting structure of the network is exploited to facilitate distributed information retrieval. The characteristic of the network structure is used to infer the content of non-cooperative peers, as well as refining possibly biased content summaries provided by peers. A query forwarding algorithm is introduced for the routing of queries. Simulation experiments show good performance of the proposed method.