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@inproceedings{854103,
author = {Zezula, Pavel and Batko, Michal and Dohnal, Vlastislav and Novák, David and Sedmidubský, Jan},
address = {Brussels},
booktitle = {NATO RTO Modelling and Simulation Group Symposium},
keywords = {similarity search; content-based retrieval; metric space; MPEG-7 descriptors; peer-to-peer search network; MUFIN; biometric data},
howpublished = {elektronická verze "online"},
language = {eng},
location = {Brussels},
isbn = {978-92-837-0100-2},
pages = {1-13},
publisher = {NATO Research and Technology Organisation},
title = {Similarity Search in Large Collections of Biometric Data},
url = {http://www.rta.nato.int/panel.asp?panel=MSG},
year = {2009}
}
TY - JOUR
ID - 854103
AU - Zezula, Pavel - Batko, Michal - Dohnal, Vlastislav - Novák, David - Sedmidubský, Jan
PY - 2009
TI - Similarity Search in Large Collections of Biometric Data
PB - NATO Research and Technology Organisation
CY - Brussels
SN - 9789283701002
KW - similarity search
KW - content-based retrieval
KW - metric space
KW - MPEG-7 descriptors
KW - peer-to-peer search network
KW - MUFIN
KW - biometric data
UR - http://www.rta.nato.int/panel.asp?panel=MSG
N2 - The new field of terrorism informatics is not only multidisciplinary but also requires new approaches to processing its complex underlying collections of data. In this paper, we introduce Multi-Feature Indexing Network (MUFIN) which is able to manage and search a large class of digital data according to the metric model of similarity. It is also scalable with respect to the data volume as well as the query execution throughput. At the same time, its performance can be tuned by mapping the search structure on a needed computation infrastructure. We illustrate the capabilities of MUFIN by outlining some of its current applications. Finally, we show how MUFIN can be used to deal with many biometric data and illustrate such possibility on the face retrieval application.
ER -
ZEZULA, Pavel, Michal BATKO, Vlastislav DOHNAL, David NOVÁK and Jan SEDMIDUBSKÝ. Similarity Search in Large Collections of Biometric Data. In \textit{NATO RTO Modelling and Simulation Group Symposium}. Brussels: NATO Research and Technology Organisation. p.~1-13. ISBN~978-92-837-0100-2. 2009.
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