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Proceedings of the 2001 conference on Applications, technologies, architectures, and protocols for computer communications
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IEEE Transactions on Pattern Analysis and Machine Intelligence
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
The X-tree: An Index Structure for High-Dimensional Data
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
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IPTPS '01 Revised Papers from the First International Workshop on Peer-to-Peer Systems
Pastry: Scalable, Decentralized Object Location, and Routing for Large-Scale Peer-to-Peer Systems
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Bayesian models for visual information retrieval
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P2PIR '06 Proceedings of the international workshop on Information retrieval in peer-to-peer networks
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Computer Networks: The International Journal of Computer and Telecommunications Networking
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Advances in Multimedia
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Computer Networks: The International Journal of Computer and Telecommunications Networking
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Adaptive Multimedial Retrieval: Retrieval, User, and Semantics
A Combined Fuzzy and Probabilistic Data Descriptor for Distributed CBIR
WILF '09 Proceedings of the 8th International Workshop on Fuzzy Logic and Applications
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AMR'06 Proceedings of the 4th international conference on Adaptive multimedia retrieval: user, context, and feedback
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MMM'07 Proceedings of the 13th international conference on Multimedia Modeling - Volume Part I
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DELOS'04 Proceedings of the 6th Thematic conference on Peer-to-Peer, Grid, and Service-Orientation in Digital Library Architectures
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The retrieval facilities of most Peer-to-Peer (P2P) systems are limited to queries based on a unique identifier or a small set of keywords. The techniques used for this purpose are hardly applicable for content-based image retrieval (CBIR) in a P2P network. Furthermore, we will argue that the curse of dimensionality and the high communication overhead prevent the adaptation of multidimensional search trees or fast sequential scan techniques for P2P CBIR. In the present paper we will propose two compact data representations which can be distributed in a P2P network and used as the basis for a source selection. This allows to communicate only with a small fraction of all peers during query processing without deteriorating the result quality significantly. We will also present experimental results confirming our approach.