TY - CONF
T1 - Expert evaluation of a novel light-field visualization format
AU - Cserkaszky, Aron
AU - Kara, Peter A.
AU - Barsi, Attila
AU - Martini, Maria G.
N1 - Note: Published in: 2018 - 3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON)
(IEEE Catalog Number: CFP1855B-ART) ISSN 2161-203X ISBN 9781538661253.
PY - 2018/6
Y1 - 2018/6
N2 - Light-field visualization is continuously emerging in industrial sectors, and the appearance on the consumer market is approaching. Yet this process is halted, or at least slowed down, by the lack of proper display-independent light-field formats. Such formats are necessary to enable the efficient interchange between light-field content creation and visualization, and thus support potential future use case scenarios of this technology. In this paper, we introduce the results of a perceived quality assessment research, performed on our own novel light-field visualization format. The subjective tests, which compared conventional linear camera array visualization to our format, were completed by experts only, thus quality assessment was an expert evaluation. We aim to use the findings gathered in this research to carry out a large-scale subjective test series in the future, with non-expert observers.
AB - Light-field visualization is continuously emerging in industrial sectors, and the appearance on the consumer market is approaching. Yet this process is halted, or at least slowed down, by the lack of proper display-independent light-field formats. Such formats are necessary to enable the efficient interchange between light-field content creation and visualization, and thus support potential future use case scenarios of this technology. In this paper, we introduce the results of a perceived quality assessment research, performed on our own novel light-field visualization format. The subjective tests, which compared conventional linear camera array visualization to our format, were completed by experts only, thus quality assessment was an expert evaluation. We aim to use the findings gathered in this research to carry out a large-scale subjective test series in the future, with non-expert observers.
KW - Computer science and informatics
U2 - 10.1109/3DTV.2018.8478436
DO - 10.1109/3DTV.2018.8478436
M3 - Paper
T2 - 2018 - 3DTV-Conference : The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON)
Y2 - 3 June 2018 through 5 June 2018
ER -