Expert evaluation of a novel light-field visualization format

Aron Cserkaszky; Peter A. Kara; Attila Barsi; Maria G. Martini

doi:10.1109/3DTV.2018.8478436

Expert evaluation of a novel light-field visualization format

Aron Cserkaszky
, Peter A. Kara
, Attila Barsi
, Maria G. Martini

Research output: Contribution to conference › Paper › peer-review

1 Downloads (Pure)

Abstract

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.

Original language	English
DOIs	https://doi.org/10.1109/3DTV.2018.8478436
Publication status	Published - Jun 2018
Event	2018 - 3DTV-Conference : The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON) - Stockholm, Sweden Duration: 3 Jun 2018 → 5 Jun 2018

Conference

Conference	2018 - 3DTV-Conference : The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON)
Period	3/06/18 → 5/06/18

Bibliographical note

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.

Keywords

Computer science and informatics

Access to Document

10.1109/3DTV.2018.8478436

Kara-P-A-44439-AAMAccepted author manuscript, 34.9 MBLicence: Unspecified

https://doi.org/10.1109/3DTV.2018.8478436

Expert evaluation of a novel light-field visualization format
Cserkaszky, A., Kara, P. A., Barsi, A. & Martini, M. G., Jun 2018, 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..
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Cite this

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title = "Expert evaluation of a novel light-field visualization format",

abstract = "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.",

keywords = "Computer science and informatics",

author = "Aron Cserkaszky and Kara, \{Peter A.\} and Attila Barsi and Martini, \{Maria G.\}",

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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.

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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

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Y2 - 3 June 2018 through 5 June 2018

ER -

Expert evaluation of a novel light-field visualization format

Abstract

Conference

Bibliographical note

Keywords

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Research output

Expert evaluation of a novel light-field visualization format

Cite this