"A Self-organized System for Content-based Search in Multimedia"@en . "6"^^ . "P(1ET100300419)" . "Dohnal, Vlastislav" . "4"^^ . . . "RIV/00216224:14330/08:00040387!RIV11-AV0-14330___" . . . "Los Alamitos, California 90720-1314" . "14330" . "A Self-organized System for Content-based Search in Multimedia" . "[A30E0144B90A]" . "4"^^ . "A Self-organized System for Content-based Search in Multimedia" . "Sedmidubsk\u00FD, Jan" . "978-1-4244-4089-4" . "RIV/00216224:14330/08:00040387" . . "We propose a self-organized and self-adapting system for content-based search in multimedia data. In particular, we build a semantic overlay over an existing peer-to-peer network. The self-organization of the overlay is obtained by using the social-network paradigm. The connections between peers are formed on the basis of a query-answer principle. The knowledge of answers to previous queries is exploited to route queries efficiently. At the same time, a randomized mechanism is used to explore new and unvisited parts of the network. In this way, the self-adaptable and robust system is built. Moreover, the metric space data model is used to achieve extensibility. The proposed concepts are verified on a network consisting of 2,000 peers and indexing 10 million images." . . "Barto\u0148, Stanislav" . "354487" . . "Berkeley, California, USA" . . "A Self-organized System for Content-based Search in Multimedia"@en . "Zezula, Pavel" . . . . "IEEE Computer Society" . . . . "2008-12-15+01:00"^^ . "self-organizing; social networking; searching; metric space; experimental evaluation"@en . . . "We propose a self-organized and self-adapting system for content-based search in multimedia data. In particular, we build a semantic overlay over an existing peer-to-peer network. The self-organization of the overlay is obtained by using the social-network paradigm. The connections between peers are formed on the basis of a query-answer principle. The knowledge of answers to previous queries is exploited to route queries efficiently. At the same time, a randomized mechanism is used to explore new and unvisited parts of the network. In this way, the self-adaptable and robust system is built. Moreover, the metric space data model is used to achieve extensibility. The proposed concepts are verified on a network consisting of 2,000 peers and indexing 10 million images."@en . "IEEE International Symposium on Multimedia (ISM 2008)" . . . . . .