Scaling up the Image Content-based Retrieval

NOVÁK, David, Michal BATKO, Vlastislav DOHNAL and Pavel ZEZULA. Scaling up the Image Content-based Retrieval. In Second DELOS Conference - Working Notes. Pisa, Italy: DELOS Network of Excellence, 2007, p. 1-10. ISBN 2-912335-36-1.

Basic information

Original name

Scaling up the Image Content-based Retrieval

Name in Czech

Rozšiřování vyhledávání obrázků na základě obsahu

Authors

NOVÁK, David (203 Czech Republic, guarantor, belonging to the institution), Michal BATKO (203 Czech Republic, belonging to the institution), Vlastislav DOHNAL (203 Czech Republic, belonging to the institution) and Pavel ZEZULA (203 Czech Republic)

Edition

Pisa, Italy, Second DELOS Conference - Working Notes, p. 1-10, 10 pp. 2007

Publisher

DELOS Network of Excellence

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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

Italy

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

printed version "print"

References:

DELOS Network of Excellence

RIV identification code

RIV/00216224:14330/07:00019500

Organization unit

Faculty of Informatics

ISBN

2-912335-36-1

Keywords in English

similarity search; scalability; MPEG-7; image database

Tags

DISA, image database, MPEG-7, scalability, similarity search

Tags

International impact, Reviewed

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Abstract

V originále

The data-explosion phenomenon can be observed in two distinct respects: (1) The volume of data produced is increasing rapidly and (2) new data types appear and are widely used. This calls for development of brand new indexing and searching methods which would be efficient on huge amounts of data and respect the needs of the recent data types. This paper describes a transfer of our previous theoretical results into practice by building a fully functional application. The application is able to efficiently manage large collections of digital images and search these images according to their content. Its distributed architecture is based on the peer-to-peer paradigm and the searching method adopts the metric-based approach to similarity. Currently the application can store and search tens of millions of images crawled from the Web with dozens of simultaneous users, although it runs on a limited hardware infrastructure.

In Czech

Fenomén datové exploze můžeme sledovat ve dvou různých rovinách: (1) rapidně narůstá objem produkovaných dat a (2) objevují se nové datové typy. V této práci popisujeme přenos našich dřívějších teoretických výsledků do praxe vybudováním plně funkční aplikace. Aplikace je schopná efektivně spravovat velké objemy digitálních obrázku a vyhledávat v nich na základě jejich obsahu.

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Links

GD102/05/H050, research and development project	Name: Integrovaný přístup k výchově studentů DSP v oblasti paralelních a distribuovaných systémů Investor: Czech Science Foundation, Integrated approach to education of PhD students in the area of parallel and distributed systems
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)