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Erschienen in:
2006 | OriginalPaper | Buchkapitel
An Efficient Peer to Peer Image Retrieval Technique Using Content Addressable Networks
verfasst von : Spyros Kotoulas, Konstantinos Konstantinidis, Leonidas Kotoulas, Ioannis Andreadis
Erschienen in: Advances in Artificial Intelligence
Verlag: Springer Berlin Heidelberg
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We present a novel technique for efficient Content Based Peer to Peer Image Retrieval (CBP2PIR) that employs a Content Addressable Network (CAN). A two-stage color histogram based method is described. The first stage defines mapping into the CAN by use of a single fuzzy histogram; while the second stage completes the image retrieval process through a spatially-biased histogram. The proposed system is completely decentralized, non-flooding, and promises high image recall, while minimizing network traffic.