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
n11http://linked.opendata.cz/ontology/domain/vavai/riv/typAkce/
dctermshttp://purl.org/dc/terms/
n16http://purl.org/net/nknouf/ns/bibtex#
n8http://localhost/temp/predkladatel/
n6http://linked.opendata.cz/resource/domain/vavai/riv/tvurce/
n15http://linked.opendata.cz/ontology/domain/vavai/
n20https://schema.org/
n21http://linked.opendata.cz/resource/domain/vavai/vysledek/RIV%2F68407700%3A21230%2F08%3A00146903%21RIV10-MSM-21230___/
n19http://linked.opendata.cz/resource/domain/vavai/zamer/
shttp://schema.org/
n4http://linked.opendata.cz/ontology/domain/vavai/riv/
skoshttp://www.w3.org/2004/02/skos/core#
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/
n13http://linked.opendata.cz/ontology/domain/vavai/riv/duvernostUdaju/
xsdhhttp://www.w3.org/2001/XMLSchema#
n12http://linked.opendata.cz/ontology/domain/vavai/riv/aktivita/
n10http://linked.opendata.cz/ontology/domain/vavai/riv/jazykVysledku/
n18http://linked.opendata.cz/ontology/domain/vavai/riv/obor/
n7http://linked.opendata.cz/ontology/domain/vavai/riv/druhVysledku/
n14http://reference.data.gov.uk/id/gregorian-year/

Statements

Subject Item
n2:RIV%2F68407700%3A21230%2F08%3A00146903%21RIV10-MSM-21230___
rdf:type
skos:Concept n15:Vysledek
dcterms:description
This paper presents an approach to predict perceived quality of compressed images while incorporating real visual attention coordinates. Information about the visual attention is not usually taken into account in models for image quality assessment. The idea of implementing gaze information into the image quality assessment system lies in that the artefacts are more disturbing to human observer in the region with higher saliency than in other parts of an image. Impact of the region of interest on estimation accuracy of a simple image quality metric is investigated. The gaze coordinates were calculated using calibrated electro-oculogram records of human observers while watching a number of test images. The same images were used for subjective image quality assessment. Obtained mean opinion scores of perceived image quality and eye tracking data were used to verify potential improvement of assessment accuracy for a simple image quality metric. This paper presents an approach to predict perceived quality of compressed images while incorporating real visual attention coordinates. Information about the visual attention is not usually taken into account in models for image quality assessment. The idea of implementing gaze information into the image quality assessment system lies in that the artefacts are more disturbing to human observer in the region with higher saliency than in other parts of an image. Impact of the region of interest on estimation accuracy of a simple image quality metric is investigated. The gaze coordinates were calculated using calibrated electro-oculogram records of human observers while watching a number of test images. The same images were used for subjective image quality assessment. Obtained mean opinion scores of perceived image quality and eye tracking data were used to verify potential improvement of assessment accuracy for a simple image quality metric.
dcterms:title
Eyetracking based approach to objective image quality assessment Eyetracking based approach to objective image quality assessment
skos:prefLabel
Eyetracking based approach to objective image quality assessment Eyetracking based approach to objective image quality assessment
skos:notation
RIV/68407700:21230/08:00146903!RIV10-MSM-21230___
n4:aktivita
n12:Z
n4:aktivity
Z(MSM6840770014)
n4:dodaniDat
n14:2010
n4:domaciTvurceVysledku
n6:8983763
n4:druhVysledku
n7:D
n4:duvernostUdaju
n13:S
n4:entitaPredkladatele
n21:predkladatel
n4:idSjednocenehoVysledku
367528
n4:idVysledku
RIV/68407700:21230/08:00146903
n4:jazykVysledku
n10:eng
n4:klicovaSlova
eye tracking; image compression; image processing; image quality; security technology
n4:klicoveSlovo
n5:image%20quality n5:eye%20tracking n5:image%20processing n5:security%20technology n5:image%20compression
n4:kontrolniKodProRIV
[62816AB84A1A]
n4:mistoKonaniAkce
Prague
n4:mistoVydani
Piscataway
n4:nazevZdroje
Proceedings of 42nd Annual 2008 IEEE International Carnahan Conference on Security Technology
n4:obor
n18:JA
n4:pocetDomacichTvurcuVysledku
1
n4:pocetTvurcuVysledku
1
n4:rokUplatneniVysledku
n14:2008
n4:tvurceVysledku
Fliegel, Karel
n4:typAkce
n11:EUR
n4:wos
000264043000064
n4:zahajeniAkce
2008-10-13+02:00
n4:zamer
n19:MSM6840770014
s:numberOfPages
6
n16:hasPublisher
IEEE
n20:isbn
978-1-4244-1816-9
n8:organizacniJednotka
21230