The Holy Grail of Content-Based Media Analysis
IEEE MultiMedia
Fast retrieval of high-dimensional feature vectors in P2P networks using compact peer data summaries
MIR '03 Proceedings of the 5th ACM SIGMM international workshop on Multimedia information retrieval
Distributed content-based visual information retrieval system on peer-to-peer networks
ACM Transactions on Information Systems (TOIS)
Progressive Distributed Top-k Retrieval in Peer-to-Peer Networks
ICDE '05 Proceedings of the 21st International Conference on Data Engineering
KLEE: a framework for distributed top-k query algorithms
VLDB '05 Proceedings of the 31st international conference on Very large data bases
The SOWES approach to P2P web search using semantic overlays
Proceedings of the 15th international conference on World Wide Web
Comparison of Image Similarity Queries in P2P Systems
P2P '06 Proceedings of the Sixth IEEE International Conference on Peer-to-Peer Computing
Peer-to-peer similarity search in metric spaces
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
MINERVA∞: a scalable efficient peer-to-peer search engine
Proceedings of the ACM/IFIP/USENIX 2005 International Conference on Middleware
Answering similarity queries in peer-to-peer networks
Information Systems
DESENT: decentralized and distributed semantic overlay generation in P2P networks
IEEE Journal on Selected Areas in Communications
Content-based medical image retrieval in peer-to-peer systems
Proceedings of the 1st ACM International Health Informatics Symposium
Peer-to-peer similarity search based on m-tree indexing
DASFAA'10 Proceedings of the 15th international conference on Database Systems for Advanced Applications - Volume Part II
Metric-Based similarity search in unstructured peer-to-peer systems
Transactions on Large-Scale Data- and Knowledge-Centered Systems V
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The World Wide Web provides an enormous amount of images easily accessible to everybody. The main challenge is to provide efficient search mechanisms for image content that are truly scalable and can support full coverage of web contents. In this paper, we present an architecture that adopts the peer-to-peer (P2P) paradigm for indexing, searching and ranking of image content. The ultimate goal of our architecture is to provide an adaptive search mechanism for image content, enhanced with learning, relying on image features, user-defined annotations and user feedback. Thus, we present PIRES, a scalable decentralized and distributed infrastructure for building a search engine for image content capitalizing on P2P technology. In the following, we first present the core scientific and technological objectives of PIRES, and then we present some preliminary experimental results of our prototype.