This HTML5 document contains 47 embedded RDF statements represented using HTML+Microdata notation.

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

Namespace Prefixes

PrefixIRI
n19http://linked.opendata.cz/ontology/domain/vavai/riv/typAkce/
dctermshttp://purl.org/dc/terms/
n16http://localhost/temp/predkladatel/
n5http://purl.org/net/nknouf/ns/bibtex#
n12http://linked.opendata.cz/resource/domain/vavai/projekt/
n10http://linked.opendata.cz/resource/domain/vavai/riv/tvurce/
n14http://linked.opendata.cz/ontology/domain/vavai/
n20http://linked.opendata.cz/resource/domain/vavai/zamer/
n11https://schema.org/
shttp://schema.org/
skoshttp://www.w3.org/2004/02/skos/core#
n3http://linked.opendata.cz/ontology/domain/vavai/riv/
n22http://linked.opendata.cz/resource/domain/vavai/vysledek/RIV%2F68407700%3A21230%2F06%3A03118308%21RIV07-GA0-21230___/
n2http://linked.opendata.cz/resource/domain/vavai/vysledek/
rdfhttp://www.w3.org/1999/02/22-rdf-syntax-ns#
n9http://linked.opendata.cz/ontology/domain/vavai/riv/klicoveSlovo/
n4http://linked.opendata.cz/ontology/domain/vavai/riv/duvernostUdaju/
xsdhhttp://www.w3.org/2001/XMLSchema#
n21http://linked.opendata.cz/ontology/domain/vavai/riv/aktivita/
n17http://linked.opendata.cz/ontology/domain/vavai/riv/jazykVysledku/
n15http://linked.opendata.cz/ontology/domain/vavai/riv/druhVysledku/
n6http://linked.opendata.cz/ontology/domain/vavai/riv/obor/
n8http://reference.data.gov.uk/id/gregorian-year/

Statements

Subject Item
n2:RIV%2F68407700%3A21230%2F06%3A03118308%21RIV07-GA0-21230___
rdf:type
n14:Vysledek skos:Concept
dcterms:description
This paper deals with objective quality evaluation of distorted images. Optimization of the novel model for image quality evaluation with ANN has been done. Advanced method od data preprocessing was applied. This paper deals with objective quality evaluation of distorted images. Optimization of the novel model for image quality evaluation with ANN has been done. Advanced method od data preprocessing was applied. Tento elánek se zabývá objektivním hodnocením kvality zkreslených obrazu. Byla provedena optimalizace nového modelu s umilou neuronovou sítí. Byla aplikována pokroeilá metoda poedzpracování dat.
dcterms:title
Efektivní model pro odhad kvality obrazu vyu3ívající umilou neuronovou síť Efficient Model for Image Quality Assessment Utilizing Artificial Neural Network Efficient Model for Image Quality Assessment Utilizing Artificial Neural Network
skos:prefLabel
Efficient Model for Image Quality Assessment Utilizing Artificial Neural Network Efektivní model pro odhad kvality obrazu vyu3ívající umilou neuronovou síť Efficient Model for Image Quality Assessment Utilizing Artificial Neural Network
skos:notation
RIV/68407700:21230/06:03118308!RIV07-GA0-21230___
n3:strany
125 ; 126
n3:aktivita
n21:P n21:Z
n3:aktivity
P(GA102/05/2054), Z(MSM6840770014)
n3:dodaniDat
n8:2007
n3:domaciTvurceVysledku
n10:8983763
n3:druhVysledku
n15:D
n3:duvernostUdaju
n4:S
n3:entitaPredkladatele
n22:predkladatel
n3:idSjednocenehoVysledku
473425
n3:idVysledku
RIV/68407700:21230/06:03118308
n3:jazykVysledku
n17:eng
n3:klicovaSlova
Artificial Neural Network; Human Visual System; Image Processing; Mutual Information; Principal Component Analysis
n3:klicoveSlovo
n9:Human%20Visual%20System n9:Mutual%20Information n9:Principal%20Component%20Analysis n9:Image%20Processing n9:Artificial%20Neural%20Network
n3:kontrolniKodProRIV
[5B356AD61C14]
n3:mistoKonaniAkce
Moskva
n3:mistoVydani
Moscow
n3:nazevZdroje
Radio-Electronics, Electrical and Power Engineering
n3:obor
n6:JA
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
1
n3:projekt
n12:GA102%2F05%2F2054
n3:rokUplatneniVysledku
n8:2006
n3:tvurceVysledku
Fliegel, Karel
n3:typAkce
n19:WRD
n3:zahajeniAkce
2006-03-02+01:00
n3:zamer
n20:MSM6840770014
s:numberOfPages
2
n5:hasPublisher
Moskovskij energeticeskij institut
n11:isbn
5-87789-022-0
n16:organizacniJednotka
21230