Title :
Subjective Quality Assessment of Longer Duration Video Sequences Delivered Over HTTP Adaptive Streaming to Tablet Devices
Author :
Staelens, N. ; De Meulenaere, J. ; Claeys, M. ; Van Wallendael, G. ; Van den Broeck, W. ; De Cock, J. ; Van de Walle, R. ; Demeester, P. ; De Turck, F.
Author_Institution :
Dept. of Inf. Technol., Ghent Univ. - iMinds, Ghent, Belgium
Abstract :
HTTP adaptive streaming facilitates video streaming to mobile devices connected through heterogeneous networks without the need for a dedicated streaming infrastructure. By splitting different encoded versions of the same video into small segments, clients can continuously decide which segments to download based on available network resources and device characteristics. These encoded versions can, for example, differ in terms of bitrate and spatial or temporal resolution. However, as a result of dynamically selecting video segments, perceived video quality can fluctuate during playback which will impact end-users´ quality of experience. Subjective studies have already been conducted to assess the influence of video delivery using HTTP Adaptive Streaming to mobile devices. Nevertheless, existing studies are limited to the evaluation of short video sequences in controlled environments. Research has already shown that video duration and assessment environment influence quality perception. Therefore, in this article, we go beyond the traditional ways for subjective quality evaluation by conducting novel experiments on tablet devices in more ecologically valid testing environments using longer duration video sequences. As such, we want to mimic realistic viewing behavior as much as possible. Our results show that both video content and the range of quality switches significantly influence end-users´ rating behavior. In general, quality level switches are only perceived in high motion sequences or in case switching occurs between high and low quality video segments. Moreover, we also found that video stallings should be avoided during playback at all times.
Keywords :
hypermedia; image motion analysis; image sequences; notebook computers; transport protocols; video streaming; HTTP adaptive streaming; heterogeneous networks; longer duration video sequences; quality of experience; subjective quality assessment; tablet devices; video content; video streaming; Bit rate; Mobile handsets; Quality assessment; Streaming media; Tablet computers; Video recording; Video sequences; HTTP adaptive streaming; Quality of experience (QoE); mobile video; subjective video quality assessment; tablet devices;
Journal_Title :
Broadcasting, IEEE Transactions on
DOI :
10.1109/TBC.2014.2359255