Image Similarity Search: Theory and Practice
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F07%3A00019493" target="_blank" >RIV/00216224:14330/07:00019493 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Image Similarity Search: Theory and Practice
Original language description
The data-explosion phenomenon proceeds in two 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 respect the needs of the recent data types and be efficient on vast amounts of data. This paper describes a transfer of our previous theoretical results in this area 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 very content (the similarity search). 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 downloaded from the Web with dozens of simultaneous users, although it runs on a limited hardware infrastructure.
Czech name
Podobnostní vyhledávání v obrázcích: Teorie a praxe
Czech description
Článek popisuje převod našich teoretických výsledků v oblasti podobnostního vyhledávání do praxe. Výsledkem je funkční systém pro plnohodnotné podobnostní vyhledávání v rozsáhlých kolekcích digitálních obrázků.
Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2007
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
MEMICS 2007: Third Doctoral Workshop on Mathematical and Engineering Methods in Computer Science
ISBN
978-80-7355-077-6
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
154-160
Publisher name
Masaryk University and Technical University of Brno
Place of publication
Brno, Czech Republic
Event location
Znojmo, Czechia
Event date
Oct 26, 2007
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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