This HTML5 document contains 42 embedded RDF statements represented using HTML+Microdata notation.

The embedded RDF content will be recognized by any processor of HTML5 Microdata.

Namespace Prefixes

PrefixIRI
n8http://linked.opendata.cz/ontology/domain/vavai/riv/typAkce/
dctermshttp://purl.org/dc/terms/
n18http://purl.org/net/nknouf/ns/bibtex#
n15http://localhost/temp/predkladatel/
n13http://linked.opendata.cz/resource/domain/vavai/riv/tvurce/
n11http://linked.opendata.cz/resource/domain/vavai/projekt/
n10http://linked.opendata.cz/resource/domain/vavai/subjekt/
n9http://linked.opendata.cz/ontology/domain/vavai/
n22http://linked.opendata.cz/resource/domain/vavai/vysledek/RIV%2F00216305%3A26220%2F11%3APU93299%21RIV12-MV0-26220___/
n14https://schema.org/
shttp://schema.org/
skoshttp://www.w3.org/2004/02/skos/core#
n3http://linked.opendata.cz/ontology/domain/vavai/riv/
n2http://linked.opendata.cz/resource/domain/vavai/vysledek/
rdfhttp://www.w3.org/1999/02/22-rdf-syntax-ns#
n5http://linked.opendata.cz/ontology/domain/vavai/riv/klicoveSlovo/
n7http://linked.opendata.cz/ontology/domain/vavai/riv/duvernostUdaju/
xsdhhttp://www.w3.org/2001/XMLSchema#
n20http://linked.opendata.cz/ontology/domain/vavai/riv/jazykVysledku/
n16http://linked.opendata.cz/ontology/domain/vavai/riv/aktivita/
n21http://linked.opendata.cz/ontology/domain/vavai/riv/druhVysledku/
n17http://linked.opendata.cz/ontology/domain/vavai/riv/obor/
n12http://reference.data.gov.uk/id/gregorian-year/

Statements

Subject Item
n2:RIV%2F00216305%3A26220%2F11%3APU93299%21RIV12-MV0-26220___
rdf:type
n9:Vysledek skos:Concept
dcterms:description
This paper deals with the proposal of blind face indexing system for real videos with no prior knowledge. The system consists of face and facial features detection and tracking stage and face clustering stage. Viola-Jones object detector for face detection, pictorial structures for facial feature detection and Lucas-Kanade optical flow for facial feature tracking are used. Average face models based on popular SIFT features are applied for face clustering. The system operates well on discussion talks or records of videoconferences. This paper deals with the proposal of blind face indexing system for real videos with no prior knowledge. The system consists of face and facial features detection and tracking stage and face clustering stage. Viola-Jones object detector for face detection, pictorial structures for facial feature detection and Lucas-Kanade optical flow for facial feature tracking are used. Average face models based on popular SIFT features are applied for face clustering. The system operates well on discussion talks or records of videoconferences.
dcterms:title
Blind Face Indexing in Video Blind Face Indexing in Video
skos:prefLabel
Blind Face Indexing in Video Blind Face Indexing in Video
skos:notation
RIV/00216305:26220/11:PU93299!RIV12-MV0-26220___
n9:predkladatel
n10:orjk%3A26220
n3:aktivita
n16:P
n3:aktivity
P(VG20102014033)
n3:dodaniDat
n12:2012
n3:domaciTvurceVysledku
n13:5433002
n3:druhVysledku
n21:D
n3:duvernostUdaju
n7:S
n3:entitaPredkladatele
n22:predkladatel
n3:idSjednocenehoVysledku
188499
n3:idVysledku
RIV/00216305:26220/11:PU93299
n3:jazykVysledku
n20:eng
n3:klicovaSlova
Clustering, face detection, facial feature, SIFT keypoints and descriptors
n3:klicoveSlovo
n5:Clustering n5:face%20detection n5:facial%20feature n5:SIFT%20keypoints%20and%20descriptors
n3:kontrolniKodProRIV
[570063B33905]
n3:mistoKonaniAkce
Budapest
n3:mistoVydani
Budapest, Hungary
n3:nazevZdroje
Proceedings of the 34th International Conference on Telecommunications and Signal Processing TSP 2011
n3:obor
n17:JA
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
1
n3:projekt
n11:VG20102014033
n3:rokUplatneniVysledku
n12:2011
n3:tvurceVysledku
Přinosil, Jiří
n3:typAkce
n8:WRD
n3:wos
000299568700120
n3:zahajeniAkce
2011-08-18+02:00
s:numberOfPages
4
n18:hasPublisher
Neuveden
n14:isbn
978-1-4577-1411-5
n15:organizacniJednotka
26220