Multi-modal image search for large-scale applications
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F12%3A00073207" target="_blank" >RIV/00216224:14330/12:00073207 - 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
Multi-modal image search for large-scale applications
Original language description
One of the major challenges of data processing is the efficient multi-modal searching in large collections of complex data objects. In this paper, we present first results of a complex study that focuses on a comparison of various image retrieval methodsin terms of effectiveness, efficiency, and scalability. We introduce a classification of possible approaches, outline the methodology used for evaluation, and present results of our first experiments.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/VF20102014004" target="_blank" >VF20102014004: Multimedia Analysis</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the International Workshop on Multimedia Databases and Data Engineering
ISBN
9888889990
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
1-7
Publisher name
VLDB Endowment
Place of publication
Istanbul
Event location
Instanbul, Turecko
Event date
Aug 31, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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