3D video bit rate adaptation decision taking using ambient illumination context

Nur Yılmaz G., Arachchi H. K., Dogan S., Kondoz A.

ENGINEERING SCIENCE AND TECHNOLOGY-AN INTERNATIONAL JOURNAL-JESTECH, vol.17, no.3, pp.105-115, 2014 (ESCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 17 Issue: 3
  • Publication Date: 2014
  • Doi Number: 10.1016/j.jestch.2014.04.003
  • Journal Indexes: Emerging Sources Citation Index (ESCI), Scopus
  • Page Numbers: pp.105-115
  • Keywords: 3D video quality perception, Adaptation decision taking, Video adaptation, Ambient illumination, Depth intensity, Luminance contrast, Motion, Structural feature, 3D video adaptation decision taking, 3D video coding
  • TED University Affiliated: No


3-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. Copyright (C) 2014, Karabuk University. Production and hosting by Elsevier B.V. All rights reserved.