An efficient peer to peer image retrieval technique using content addressable networks

Authors:
Spyros Kotoulas;Konstantinos Konstantinidis;Leonidas Kotoulas;Ioannis Andreadis
Affiliations:
Department of Computer Science, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands;Laboratory of Electronics, Department of Electrical and Computer Engineering, Democritus University of Thrace, Xanthi, Greece;Laboratory of Electronics, Department of Electrical and Computer Engineering, Democritus University of Thrace, Xanthi, Greece;Laboratory of Electronics, Department of Electrical and Computer Engineering, Democritus University of Thrace, Xanthi, Greece
Venue:
SETN'06 Proceedings of the 4th Helenic conference on Advances in Artificial Intelligence
Year:
2006

Citing 3
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Abstract

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.