A Self-organized System for Content-based Search in Multimedia

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, 2008, p. 322-327. ISBN 978-1-4244-4089-4.

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

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Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

United States of America

Confidentiality degree

není předmětem státního či obchodního tajemství

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

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Abstract

V originále

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.

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.

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Links

GP201/07/P240, research and development project	Name: Distribuované indexační struktury pro podobnostní hledání Investor: Czech Science Foundation, Distributed Index Structures for Similarity Searching
1ET100300419, research and development project	Name: 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)