Research Article
Continuous Predictive Model for Quality of Experience in Wireless Video Streaming
@INPROCEEDINGS{10.1007/978-3-030-36405-2_25, author={Wenjuan Shi and Jinqiu Pan}, title={Continuous Predictive Model for Quality of Experience in Wireless Video Streaming}, proceedings={Advanced Hybrid Information Processing. Third EAI International Conference, ADHIP 2019, Nanjing, China, September 21--22, 2019, Proceedings, Part II}, proceedings_a={ADHIP PART 2}, year={2019}, month={11}, keywords={Quality of experience (QoE) Continuous QoE Frame quality Rebuffering event Memory effect}, doi={10.1007/978-3-030-36405-2_25} }- Wenjuan Shi
Jinqiu Pan
Year: 2019
Continuous Predictive Model for Quality of Experience in Wireless Video Streaming
ADHIP PART 2
Springer
DOI: 10.1007/978-3-030-36405-2_25
Abstract
Because of bandwidth and buffer limitation in wireless network, rebuffering events and bitrate drop often cause video impairments, e.g. compression artifacts and video stalling. Hence, these problems often make a loss of the quality of experience (QoE). For making a prediction about the impact of video impairments on QoE, a continuous predictive model for QoE in wireless video streaming is proposed. In this paper, the inputs are composed of three vectors that are the quality of video frame, rebuffering events state and human memory effect, and the output represents the predicted continuous QoE. We build the predictive model by a Hammerstein-Wiener model. Experimental results show that the proposed model can accurately make a prediction about continuous subjective QoE.
