User perception of adapting video quality

  • Authors:

  • Nicola Cranley;Philip Perry;Liam Murphy

  • Affiliations:

  • Department of Computer Science, University College Dublin, Belfield, Dublin 4, Ireland;Department of Computer Science, University College Dublin, Belfield, Dublin 4, Ireland;Department of Computer Science, University College Dublin, Belfield, Dublin 4, Ireland

  • Venue:
  • International Journal of Human-Computer Studies
  • Year:
  • 2006

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Abstract

In general, video quality adaptation and video quality evaluation are distinct activities. Most adaptive delivery mechanisms for streaming multimedia content do not explicitly consider user-perceived quality when making adaptation decisions. Equally, video quality evaluation techniques are not designed to evaluate instantaneous quality where the quality is changing over time. We propose that an Optimal Adaptation Trajectory (OAT) through the set of possible encoding exists, and that it indicates how to adapt encoding quality in response to changes in network conditions in order to maximize user-perceived quality. The subjective and objective tests carried out to find such trajectories for a number of different MPEG-4 video clips are described. Experimental subjective testing results are presented that demonstrate the dynamic nature of user perception with adapting multimedia. The results demonstrate that adaptation using the OAT out-performs conventional adaptation strategies in which only a single aspect of the video quality is adapted. In contrast, the OAT provides a mechanism to adapt multiple aspects of the video quality thereby giving better user-perceived quality in both the short and long term.