Quality assessment of adaptive 3D video streaming

Samira Tavakoli; Jesús Gutiérrez; Narciso García

doi:10.1117/12.2005883

12 March 2013 Quality assessment of adaptive 3D video streaming

Samira Tavakoli, Jesús Gutiérrez, Narciso García

Proceedings Volume 8650, Three-Dimensional Image Processing (3DIP) and Applications 2013; 86500O (2013) https://doi.org/10.1117/12.2005883
Event: IS&T/SPIE Electronic Imaging, 2013, Burlingame, California, United States

Abstract

The streaming of 3D video contents is currently a reality to expand the user experience. However, because of the variable bandwidth of the networks used to deliver multimedia content, a smooth and high-quality playback experience could not always be guaranteed. Using segments in multiple video qualities, HTTP adaptive streaming (HAS) of video content is a relevant advancement with respect to classic progressive download streaming. Mainly, it allows resolving these issues by offering significant advantages in terms of both user-perceived Quality of Experience (QoE) and resource utilization for content and network service providers. In this paper we discuss the impact of possible HAS client’s behavior while adapting to the network capacity on enduser. This has been done through an experiment of testing the end-user response to the quality variation during the adaptation procedure. The evaluation has been carried out through a subjective test of the end-user response to various possible clients’ behaviors for increasing, decreasing, and oscillation of quality in 3D video. In addition, some of the HAS typical impairments during the adaptation has been simulated and their effects on the end-user perception are assessed. The experimental conclusions have made good insight into the user’s response to different adaptation scenarios and visual impairments causing the visual discomfort that can be used to develop the adaptive streaming algorithm to improve the end-user experience.

Citation Download Citation

Samira Tavakoli, Jesús Gutiérrez, and Narciso García "Quality assessment of adaptive 3D video streaming", Proc. SPIE 8650, Three-Dimensional Image Processing (3DIP) and Applications 2013, 86500O (12 March 2013); https://doi.org/10.1117/12.2005883

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