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Metric-Based Similarity Search in Unstructured Peer-to-Peer Systems
[chapter]
2012
Lecture Notes in Computer Science
Peer-to-peer systems constitute a promising solution for deploying novel applications, such as distributed image retrieval. Efficient search over widely distributed multimedia content requires techniques for distributed retrieval based on generic metric distance functions. In this paper, we propose a framework for distributed metric-based similarity search, where each participating peer stores its own data autonomously. In order to establish a scalable and efficient search mechanism, we adopt a
doi:10.1007/978-3-642-28148-8_2
fatcat:m3ni4vmstfdptbfn47xblgkk2a