Optimization of HVS based objective image quality assessment with eye tracking
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F08%3A03146908" target="_blank" >RIV/68407700:21230/08:03146908 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Optimization of HVS based objective image quality assessment with eye tracking
Original language description
In this paper, we present an approach to predict perceived quality of compressed images while incorporating real visual attention coordinates. 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 usingcalibrated electro-oculogram records of human observers while watching a number of test images. 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. Based on the proven effect, our previously developed system for still image quality assessment has been adapted while utilizing information about the visual attention.
Czech name
Optimalizace objektivního hodnocení kvality obrazu založená na HVS a sledování očních pohybů
Czech description
Tento příspěvek se zabývá popisem metody pro odhad vnímané kvality komprimovaných snímků, která bere v úvahu reálné souřadnice očních pohybů. Je zde analyzováno možné zvýšení přesnosti modelu HVS s využitím záznamu očních pohybů a umělé neuronové sítě.
Classification
Type
D - Article in proceedings
CEP classification
JA - Electronics and optoelectronics
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2008
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Mathematics of Data/Image Pattern Recognition, Compression, and Encryption with Applications XI
ISBN
978-0-8194-7295-3
ISSN
0277-786X
e-ISSN
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Number of pages
12
Pages from-to
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Publisher name
SPIE
Place of publication
Bellingham
Event location
San Diego
Event date
Aug 10, 2008
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000263956300004