Video Quality Metric for Streaming Service Using DASH Standard

Currently, dynamic adaptive streaming over HTTP (DASH) standard is used to change the video resolution according to the network capacity of the end user's. However, if the video resolution changes frequently, the attention of the users can be affected decreasing their quality-of-experience (QoE...

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Bibliographic Details
Published in:IEEE transactions on broadcasting 2016-09, Vol.62 (3), p.628-639
Main Authors: Zegarra Rodriguez, Demostenes, Lopes Rosa, Renata, Costa Alfaia, Eduardo, Abrahao, Julia Issy, Bressan, Graca
Format: Article
Language:English
Subjects:
DASH
Delay
Devices
Electronic devices
Energy consumption
Impairment
Measurement
MOS
Multimedia communication
Networks
QoE
Quality
Quality assessment
Streaming media
subjective test
video quality metrics
video resolution
Video streaming
Video transmission
Visualization
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Summary:Currently, dynamic adaptive streaming over HTTP (DASH) standard is used to change the video resolution according to the network capacity of the end user's. However, if the video resolution changes frequently, the attention of the users can be affected decreasing their quality-of-experience (QoE). In this context, this paper proposes a no-reference video quality metric that takes three impairment factors into account, initial buffering delay, temporal interruptions or pauses, and video resolution changes during a video transmission. Also, the temporal locations of pauses and resolution changes are considered. In order to perform this task, extensive subjective tests were conducted. Experimental results show that the evaluators' QoE is highly correlated with the frequency of pauses, video resolution changes and initial delay. Based on these results a video streaming quality metric for DASH services (VsQM DASH ) is formulated and implemented on PC and mobile hand-held devices. Finally, the performance of VsQM DASH is validated with additional subjective tests reaching a person correlation coefficient of 0.99. Furthermore, experimental results demonstrated that the proposed metric has low complexity because it is based on application level parameters and its energy consumption is negligible in relation to the energy consumed by the video player; therefore, can be easily implemented in consumer electronic devices.
ISSN:0018-9316
1557-9611
DOI:10.1109/TBC.2016.2570012