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Statements

Subject Item
n2:RIV%2F00216208%3A11320%2F11%3A10100163%21RIV12-GA0-11320___
rdf:type
n8:Vysledek skos:Concept
dcterms:description
The Signature Quadratic Form Distance on feature signatures represents a flexible distance-based similarity model for effective content-based multimedia retrieval. Although metric indexing approaches are able to speed up query processing by two orders of magnitude, their applicability to large-scale multimedia databases containing billions of images is still a challenging issue. In this paper, we propose the utilization of GPUs for efficient query processing with the Signature Quadratic Form Distance. We show how to process multiple distance computations in parallel and demonstrate efficient query processing by comparing many-core GPU with multi-core CPU implementations. The Signature Quadratic Form Distance on feature signatures represents a flexible distance-based similarity model for effective content-based multimedia retrieval. Although metric indexing approaches are able to speed up query processing by two orders of magnitude, their applicability to large-scale multimedia databases containing billions of images is still a challenging issue. In this paper, we propose the utilization of GPUs for efficient query processing with the Signature Quadratic Form Distance. We show how to process multiple distance computations in parallel and demonstrate efficient query processing by comparing many-core GPU with multi-core CPU implementations.
dcterms:title
Processing the Signature Quadratic Form Distance on Many-Core GPU Architectures Processing the Signature Quadratic Form Distance on Many-Core GPU Architectures
skos:prefLabel
Processing the Signature Quadratic Form Distance on Many-Core GPU Architectures Processing the Signature Quadratic Form Distance on Many-Core GPU Architectures
skos:notation
RIV/00216208:11320/11:10100163!RIV12-GA0-11320___
n8:predkladatel
n13:orjk%3A11320
n3:aktivita
n22:Z n22:S n22:P
n3:aktivity
P(GAP202/11/0968), S, Z(MSM0021620838)
n3:dodaniDat
n14:2012
n3:domaciTvurceVysledku
n11:3885364 n11:2938359 n11:5851726
n3:druhVysledku
n9:D
n3:duvernostUdaju
n19:S
n3:entitaPredkladatele
n20:predkladatel
n3:idSjednocenehoVysledku
224176
n3:idVysledku
RIV/00216208:11320/11:10100163
n3:jazykVysledku
n4:eng
n3:klicovaSlova
similarity search; quadratic form distance; many-core; GPU
n3:klicoveSlovo
n12:many-core n12:similarity%20search n12:GPU n12:quadratic%20form%20distance
n3:kontrolniKodProRIV
[6BF8BDCA080D]
n3:mistoKonaniAkce
Glasgow
n3:mistoVydani
New York
n3:nazevZdroje
Compilation Proceedings of CIKM 2011 and the co-located Workshops
n3:obor
n21:IN
n3:pocetDomacichTvurcuVysledku
3
n3:pocetTvurcuVysledku
5
n3:projekt
n6:GAP202%2F11%2F0968
n3:rokUplatneniVysledku
n14:2011
n3:tvurceVysledku
Seidl, Thomas Beecks, Christian Kruliš, Martin Lokoč, Jakub Skopal, Tomáš
n3:typAkce
n15:WRD
n3:zahajeniAkce
2011-10-24+02:00
n3:zamer
n10:MSM0021620838
s:numberOfPages
4
n17:hasPublisher
ACM
n23:isbn
978-1-4503-0717-8
n7:organizacniJednotka
11320