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

Other information

• Original language: English
• Type of outcome: Proceedings paper
• Field of Study: 10201 Computer sciences, information science, bioinformatics
• Country of publisher: Italy
• Confidentiality degree: is not subject to a state or trade secret
• Publication form: printed version "print"
• WWW: 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

Abstract

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.

Abstract (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.

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)