| NOVÁK, David. Multi-modal Similarity Retrieval with a Shared Distributed Data Store. In Jung, Jason J, Badica, Costin, Kiss, Attila. Scalable Information Systems: 5th International Conference, INFOSCALE 2014, Seoul, South Korea, September 25-26, 2014, Revised Selected Papers. New York: Springer International Publishing, 2015, s. 28-37. ISBN 978-3-319-16867-8. Dostupné z: https://dx.doi.org/10.1007/978-3-319-16868-5_3. |
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@inproceedings{1317715,
author = {Novák, David},
address = {New York},
booktitle = {Scalable Information Systems: 5th International Conference, INFOSCALE 2014, Seoul, South Korea, September 25-26, 2014, Revised Selected Papers},
doi = {http://dx.doi.org/10.1007/978-3-319-16868-5_3},
editor = {Jung, Jason J, Badica, Costin, Kiss, Attila},
keywords = {similarity search; multi-modal search; Big Data; scalability},
howpublished = {tištěná verze "print"},
language = {eng},
location = {New York},
isbn = {978-3-319-16867-8},
pages = {28-37},
publisher = {Springer International Publishing},
title = {Multi-modal Similarity Retrieval with a Shared Distributed Data Store},
year = {2015}
}
TY - JOUR
ID - 1317715
AU - Novák, David
PY - 2015
TI - Multi-modal Similarity Retrieval with a Shared Distributed Data Store
PB - Springer International Publishing
CY - New York
SN - 9783319168678
KW - similarity search
KW - multi-modal search
KW - Big Data
KW - scalability
N2 - 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 types of 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 is devoted 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.
ER -
NOVÁK, David. Multi-modal Similarity Retrieval with a Shared Distributed Data Store. In Jung, Jason J, Badica, Costin, Kiss, Attila. \textit{Scalable Information Systems: 5th International Conference, INFOSCALE 2014, Seoul, South Korea, September 25-26, 2014, Revised Selected Papers}. New York: Springer International Publishing, 2015, s.~28-37. ISBN~978-3-319-16867-8. Dostupné z: https://dx.doi.org/10.1007/978-3-319-16868-5\_{}3.
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