Multi-modal Similarity Retrieval with Distributed Key-value Store

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F15%3A00081691" target="_blank" >RIV/00216224:14330/15:00081691 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/s11036-014-0561-4" target="_blank" >http://dx.doi.org/10.1007/s11036-014-0561-4</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s11036-014-0561-4" target="_blank" >10.1007/s11036-014-0561-4</a>

Result language
angličtina
Original language name
Multi-modal Similarity Retrieval with Distributed Key-value Store
Original language description
We propose a 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 types of search indexes. The system enables various types of data access by distance-based similarity queries, standard term and attribute queries, and advanced queries combining several search aspects (modalities). The first part of this work describes the generic architecture and similarity index PPP-Codes, which is suitable for our system. In the second part, we describe two specific instances of this architecture that manage two large collections of digital images and provide content-based visual search, keywordsearch, attribute-based access, and their combinations.
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
IN - Informatics
OECD FORD branch
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Project
<a href="/en/project/GAP103%2F10%2F0886" target="_blank" >GAP103/10/0886: Content-based Image Retrieval on the Web Scale</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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