SEDMIDUBSKÝ, Jan, Vlastislav DOHNAL, Stanislav BARTOŇ and Pavel ZEZULA. A Self-organized System for Content-based Search in Multimedia. In IEEE International Symposium on Multimedia (ISM 2008). Los Alamitos, California 90720-1314: IEEE Computer Society. p. 322-327. ISBN 978-1-4244-4089-4. 2008.
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Basic information
Original name A Self-organized System for Content-based Search in Multimedia
Name in Czech Samoorganizující se systém pro vyhledávání v multimédiích podle jejich obsahu
Authors SEDMIDUBSKÝ, Jan (203 Czech Republic, guarantor, belonging to the institution), Vlastislav DOHNAL (203 Czech Republic, belonging to the institution), Stanislav BARTOŇ (203 Czech Republic, belonging to the institution) and Pavel ZEZULA (203 Czech Republic, belonging to the institution).
Edition Los Alamitos, California 90720-1314, IEEE International Symposium on Multimedia (ISM 2008), p. 322-327, 6 pp. 2008.
Publisher IEEE Computer Society
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher United States of America
Confidentiality degree is not subject to a state or trade secret
RIV identification code RIV/00216224:14330/08:00040387
Organization unit Faculty of Informatics
ISBN 978-1-4244-4089-4
UT WoS 000279626000048
Keywords in English self-organizing; social networking; searching; metric space; experimental evaluation
Tags DISA, experimental evaluation, Metric Space, searching, self-organizing, social networking
Tags International impact, Reviewed
Changed by Changed by: doc. RNDr. Jan Sedmidubský, Ph.D., učo 60474. Changed: 1/5/2011 17:06.
Abstract
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.
Abstract (in Czech)
Navrhujeme samo-organizující se a samo-adaptující se systém pro vyhledávání podle obsahu v rozsáhlých multimediálních datech. Samo-organizace systému je založena na principu sociálních sítí. Navržený systém je vyhodnocen na databázi obrázku o velikosti 10 milionů.
Links
GP201/07/P240, research and development projectName: Distribuované indexační struktury pro podobnostní hledání
Investor: Czech Science Foundation, Distributed Index Structures for Similarity Searching
1ET100300419, research and development projectName: Inteligentní modely, algoritmy, metody a nástroje pro vytváření sémantického webu
Investor: Academy of Sciences of the Czech Republic, Intelligent Models, Algorithms, Methods and Tools for the Semantic Web (realization)
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