3D Video QoE Based Adaptation Framework for Future Communication Networks

Yilmaz G. N., Çimtay Y.

3rd International Conference on IoT Based Control Networks and Intelligent Systems, ICICNIS 2022, Kottayam, India, 1 - 02 July 2022, vol.528, pp.757-768 identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 528
  • Doi Number: 10.1007/978-981-19-5845-8_54
  • City: Kottayam
  • Country: India
  • Page Numbers: pp.757-768
  • Keywords: 3D video QoE, Depth perception, Scalable video coding, Video adaptation, Video quality
  • TED University Affiliated: Yes


A thorough investigation of the characteristics of 3D videos and the circumstances that support them in content-related contexts is necessary to help advance 3D video adaption systems. In order to create an advanced 3D video Quality of Experience (QoE) based adaptation framework for smart service management of future communication networks, various elements and situations related to content can be employed as milestones. Given this knowledge, the spatial resolution of a color + depth map 3D video representation is taken into account in this study as a factor to suggest a 3D video QoE based adaption framework. In order to construct this framework, the content-related contexts—namely, the motion and structure of a color video and the relative depth and aerial perspective of a depth map are taken into consideration. Under the condition that certain requirements are met and the 3D video QoE is maintained at an ideal level, the performance assessment results obtained using the suggested framework demonstrate its efficacy for selecting the best spatial resolutions for the color + depth map videos.