Inferring the QoE of HTTP video streaming from user-viewing activities

Ricky K.P. Mok; Edmond W.W. Chan; Xiapu Luo; Kow Chuen Chang

doi:10.1145/2018602.2018611

Inferring the QoE of HTTP video streaming from user-viewing activities

Ricky K.P. Mok, Edmond W.W. Chan, Xiapu Luo, Kow Chuen Chang

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

118 Citations (Scopus)

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.

Original language	English
Title of host publication	Proceedings of the 1st ACM SIGCOMM Workshop on Measurements Up the Stack, W-MUST'11
Pages	31-36
Number of pages	6
DOIs	https://doi.org/10.1145/2018602.2018611
Publication status	Published - 26 Sept 2011
Event	1st ACM SIGCOMM Workshop on Measurements Up the Stack, W-MUST'11, Co-located with SIGCOMM 2011 - Toronto, ON, Canada Duration: 15 Aug 2011 → 19 Aug 2011

Conference

Conference	1st ACM SIGCOMM Workshop on Measurements Up the Stack, W-MUST'11, Co-located with SIGCOMM 2011
Country/Territory	Canada
City	Toronto, ON
Period	15/08/11 → 19/08/11

Keywords

http video streaming
qoe
user-viewing activities

ASJC Scopus subject areas

Computer Graphics and Computer-Aided Design
Computer Science Applications

More information

10.1145/2018602.2018611

Cite this

@inproceedings{741d3838ad7e47dbb5d9ddb96b6b123b,

title = "Inferring the QoE of HTTP video streaming from user-viewing activities",

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.",

keywords = "http video streaming, qoe, user-viewing activities",

author = "Mok, {Ricky K.P.} and Chan, {Edmond W.W.} and Xiapu Luo and Chang, {Kow Chuen}",

year = "2011",

month = sep,

day = "26",

doi = "10.1145/2018602.2018611",

language = "English",

isbn = "9781450308007",

pages = "31--36",

booktitle = "Proceedings of the 1st ACM SIGCOMM Workshop on Measurements Up the Stack, W-MUST'11",

note = "1st ACM SIGCOMM Workshop on Measurements Up the Stack, W-MUST'11, Co-located with SIGCOMM 2011 ; Conference date: 15-08-2011 Through 19-08-2011",

}

Mok, RKP, Chan, EWW, Luo, X & Chang, KC 2011, Inferring the QoE of HTTP video streaming from user-viewing activities. in Proceedings of the 1st ACM SIGCOMM Workshop on Measurements Up the Stack, W-MUST'11. pp. 31-36, 1st ACM SIGCOMM Workshop on Measurements Up the Stack, W-MUST'11, Co-located with SIGCOMM 2011, Toronto, ON, Canada, 15/08/11. https://doi.org/10.1145/2018602.2018611

Inferring the QoE of HTTP video streaming from user-viewing activities. / Mok, Ricky K.P.; Chan, Edmond W.W.; Luo, Xiapu et al.

Proceedings of the 1st ACM SIGCOMM Workshop on Measurements Up the Stack, W-MUST'11. 2011. p. 31-36.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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AB - 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.

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Inferring the QoE of HTTP video streaming from user-viewing activities

Abstract

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Keywords

ASJC Scopus subject areas

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