Crowdsourcing based subjective quality assessment of adaptive video streaming

M. Shahid; Jacob Søgaard; J. Pokhrel; K. Brunnström; K. Wang; S. Tavakoli; N. Garcia

doi:10.1109/QoMEX.2014.6982289

Crowdsourcing based subjective quality assessment of adaptive video streaming

M. Shahid, Jacob Søgaard, J. Pokhrel, K. Brunnström, K. Wang, S. Tavakoli, N. Garcia

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Abstract

In order to cater for user’s quality of experience (QoE) re- quirements, HTTP adaptive streaming (HAS) based solutions of video services have become popular recently. User QoE feedback can be instrumental in improving the capabilities of such services. Perceptual quality experiments that involve humans are considered to be the most valid method of the as- sessment of QoE. Besides lab-based subjective experiments, crowdsourcing based subjective assessment of video quality is gaining popularity as an alternative method. This paper presents insights into a study that investigates perceptual pref- erences of various adaptive video streaming scenarios through crowdsourcing based subjective quality assessment.

Original language	English
Title of host publication	Proceedings of Sixth International Workshop on Quality of Multimedia Experience 2014
Number of pages	2
Publisher	IEEE
Publication date	2014
Pages	53-54
DOIs	https://doi.org/10.1109/QoMEX.2014.6982289
Publication status	Published - 2014
Event	6th International Workshop on Quality of Multimedia Experience - Singapore, Singapore Duration: 18 Sept 2014 → 20 Sept 2014

Conference

Conference	6th International Workshop on Quality of Multimedia Experience
Country/Territory	Singapore
City	Singapore
Period	18/09/2014 → 20/09/2014

Keywords

Adaptive streaming
Subjective
Video quality assessment
Crowdsourcing
Buffering

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10.1109/QoMEX.2014.6982289

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title = "Crowdsourcing based subjective quality assessment of adaptive video streaming",

abstract = "In order to cater for user{\textquoteright}s quality of experience (QoE) re- quirements, HTTP adaptive streaming (HAS) based solutions of video services have become popular recently. User QoE feedback can be instrumental in improving the capabilities of such services. Perceptual quality experiments that involve humans are considered to be the most valid method of the as- sessment of QoE. Besides lab-based subjective experiments, crowdsourcing based subjective assessment of video quality is gaining popularity as an alternative method. This paper presents insights into a study that investigates perceptual pref- erences of various adaptive video streaming scenarios through crowdsourcing based subjective quality assessment.",

keywords = "Adaptive streaming, Subjective, Video quality assessment, Crowdsourcing, Buffering",

author = "M. Shahid and Jacob S{\o}gaard and J. Pokhrel and K. Brunnstr{\"o}m and K. Wang and S. Tavakoli and N. Garcia",

year = "2014",

doi = "10.1109/QoMEX.2014.6982289",

language = "English",

pages = "53--54",

booktitle = "Proceedings of Sixth International Workshop on Quality of Multimedia Experience 2014",

publisher = "IEEE",

address = "United States",

note = "6th International Workshop on Quality of Multimedia Experience, QoMEX 2014 ; Conference date: 18-09-2014 Through 20-09-2014",

}

Shahid, M, Søgaard, J, Pokhrel, J, Brunnström, K, Wang, K, Tavakoli, S & Garcia, N 2014, Crowdsourcing based subjective quality assessment of adaptive video streaming. in Proceedings of Sixth International Workshop on Quality of Multimedia Experience 2014. IEEE, pp. 53-54, 6th International Workshop on Quality of Multimedia Experience, Singapore, Singapore, 18/09/2014. https://doi.org/10.1109/QoMEX.2014.6982289

TY - GEN

T1 - Crowdsourcing based subjective quality assessment of adaptive video streaming

AU - Shahid, M.

AU - Søgaard, Jacob

AU - Pokhrel, J.

AU - Brunnström, K.

AU - Wang, K.

AU - Tavakoli, S.

AU - Garcia, N.

PY - 2014

Y1 - 2014

N2 - In order to cater for user’s quality of experience (QoE) re- quirements, HTTP adaptive streaming (HAS) based solutions of video services have become popular recently. User QoE feedback can be instrumental in improving the capabilities of such services. Perceptual quality experiments that involve humans are considered to be the most valid method of the as- sessment of QoE. Besides lab-based subjective experiments, crowdsourcing based subjective assessment of video quality is gaining popularity as an alternative method. This paper presents insights into a study that investigates perceptual pref- erences of various adaptive video streaming scenarios through crowdsourcing based subjective quality assessment.

AB - In order to cater for user’s quality of experience (QoE) re- quirements, HTTP adaptive streaming (HAS) based solutions of video services have become popular recently. User QoE feedback can be instrumental in improving the capabilities of such services. Perceptual quality experiments that involve humans are considered to be the most valid method of the as- sessment of QoE. Besides lab-based subjective experiments, crowdsourcing based subjective assessment of video quality is gaining popularity as an alternative method. This paper presents insights into a study that investigates perceptual pref- erences of various adaptive video streaming scenarios through crowdsourcing based subjective quality assessment.

KW - Adaptive streaming

KW - Subjective

KW - Video quality assessment

KW - Crowdsourcing

KW - Buffering

U2 - 10.1109/QoMEX.2014.6982289

DO - 10.1109/QoMEX.2014.6982289

M3 - Article in proceedings

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EP - 54

BT - Proceedings of Sixth International Workshop on Quality of Multimedia Experience 2014

PB - IEEE

T2 - 6th International Workshop on Quality of Multimedia Experience

Y2 - 18 September 2014 through 20 September 2014

ER -

Crowdsourcing based subjective quality assessment of adaptive video streaming

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