Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/37570
Title: Inferring the QoE of HTTP video streaming from user-viewing activities
Authors: Mok, RKP
Chan, EWW
Luo, X 
Chang, R 
Issue Date: 2011
Source: W-MUST '11 Proceedings of the First ACM SIGCOMM Workshop on Measurements up the stack, Toronto, Canada, 19 Aug 2011, p. 31-36 How to cite?
Abstract: HTTP video streaming, employed by most of the video-sharing websites, allows users to control the video playback using, for example, pausing and switching the bit rate. These user-viewing activities can be used to mitigate the temporal structure impairments of the video quality. On the other hand, other activities, such as mouse movement, do not help reduce the impairment level. In this paper, we have performed subjective experiments to analyze user-viewing activities and correlate them with network path performance and user quality of experience. The results show that network measurement alone may miss important information about user dissatisfaction with the video quality. Moreover, video impairments can trigger user-viewing activities, notably pausing and reducing the screen size. By including the pause events into the prediction model, we can increase its explanatory power.
URI: http://hdl.handle.net/10397/37570
ISBN: 978-1-4503-0800-7
DOI: 10.1145/2018602.2018611
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