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3D video bit rate adaptation decision taking using ambient illumination context
journal contribution
posted on 2017-02-07, 11:43 authored by G. Nur Yilmaz, Hemantha Kodikara Arachchi, Safak DoganSafak Dogan, Ahmet Kondoz3-Dimensional (3D) video adaptation decision taking is an open field in which not many researchers have carried out investigations yet compared to 3D video display, coding, etc. Moreover, utilizing ambient illumination as an environmental context for 3D video adaptation decision taking has particularly not been studied in literature to date. In this paper, a user perception model, which is based on determining perception characteristics of a user for a 3D video content viewed under a particular ambient illumination condition, is proposed. Using the proposed model, a 3D video bit rate adaptation decision taking technique is developed to determine the adapted bit rate for the 3D video content to maintain 3D video
quality perception by considering the ambient illumination condition changes. Experimental results demonstrate that the proposed technique is capable of exploiting the changes in ambient illumination level to use network resources more efficiently without sacrificing the 3D video quality perception.
History
School
- Loughborough University London
Published in
Engineering Science and Technology, an International JournalVolume
17Issue
3Pages
105 - 115Citation
NUR YILMAZ, G. ... et al., 2014. 3D video bit rate adaptation decision taking using ambient illumination context. Engineering Science and Technology, an International Journal, 17(3), pp. 105-115.Publisher
© Karabuk University. Published by ElsevierVersion
- VoR (Version of Record)
Publisher statement
This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 Unported (CC BY-NC-ND 3.0) licence. Full details of this licence are available at: http://creativecommons.org/licenses/by-nc-nd/3.0/Publication date
2014Notes
This is an Open Access Article. It is published by Elsevier under the Creative Commons Attribution 3.0 Unported Licence NonCommercial-No Derivs (CC BY-NC-ND). Full details of this licence are available at: http://creativecommons.org/licenses/by-nc-nd/3.0/ISSN
2215-0986Publisher version
Language
- en
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