About: Similarity Search in Large Collections of Biometric Data     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

AttributesValues
rdf:type
Description
  • 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.
  • 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. (en)
Title
  • Similarity Search in Large Collections of Biometric Data
  • Similarity Search in Large Collections of Biometric Data (en)
skos:prefLabel
  • Similarity Search in Large Collections of Biometric Data
  • Similarity Search in Large Collections of Biometric Data (en)
skos:notation
  • RIV/00216224:14330/09:00029582!RIV10-GA0-14330___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA201/09/0683), P(GD102/09/H042), P(GP201/07/P240), P(GP201/08/P507)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 341198
http://linked.open...ai/riv/idVysledku
  • RIV/00216224:14330/09:00029582
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • similarity search; content-based retrieval; metric space; MPEG-7 descriptors; peer-to-peer search network; MUFIN; biometric data (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [F88BBE35D549]
http://linked.open...v/mistoKonaniAkce
  • Brussels
http://linked.open...i/riv/mistoVydani
  • Brussels
http://linked.open...i/riv/nazevZdroje
  • NATO RTO Modelling and Simulation Group Symposium
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Novák, David
  • Sedmidubský, Jan
  • Batko, Michal
  • Zezula, Pavel
  • Dohnal, Vlastislav
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • NATO Research and Technology Organisation
https://schema.org/isbn
  • 978-92-837-0100-2
http://localhost/t...ganizacniJednotka
  • 14330
Faceted Search & Find service v1.16.118 as of Jun 21 2024


Alternative Linked Data Documents: ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 58 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software