Multi-modal Similarity Retrieval with a Shared Distributed Data Store
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F15%3A00081206" target="_blank" >RIV/00216224:14330/15:00081206 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-16868-5_3" target="_blank" >http://dx.doi.org/10.1007/978-3-319-16868-5_3</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-16868-5_3" target="_blank" >10.1007/978-3-319-16868-5_3</a>
Alternative languages
Result language
angličtina
Original language name
Multi-modal Similarity Retrieval with a Shared Distributed Data Store
Original language description
We propose a generic system architecture for large-scale similarity search in various types of digital data. The architecture combines contemporary highly-scalable distributed data stores with recent efficient similarity indexes and also with other typesof search indexes. The system is designed to provide several types of queries ? distance-based similarity queries, term-based queries, attribute queries, and advanced queries combining several search aspects (modalities). The first part of this work isdevoted to the generic architecture and to description of a similarity index PPP-Codes that is suitable for our system. In the second part, we describe a specific instance of this architecture that manages a 106 million image collection providing content-based visual search, keyword search, attribute-based access, and their combinations.
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/GBP103%2F12%2FG084" target="_blank" >GBP103/12/G084: Center for Large Scale Multi-modal Data Interpretation</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Scalable Information Systems: 5th International Conference, INFOSCALE 2014, Seoul, South Korea, September 25-26, 2014, Revised Selected Papers
ISBN
9783319168678
ISSN
1867-8211
e-ISSN
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Number of pages
10
Pages from-to
28-37
Publisher name
Springer International Publishing
Place of publication
New York
Event location
Seoul, South Korea
Event date
Jan 1, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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