Quality metric to assess video streaming service over TCP considering temporal location of pauses

Quality metric to assess video streaming service over TCP considering temporal location of pauses

There is a wide range of video services over complex transmission networks, and in some cases end users fail to receive an acceptable quality level. In this paper, the different factors that degrade users' quality of experience (QoE) in video streaming service that use TCP as transmission proto...

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Bibliographic Details
Published in:IEEE transactions on consumer electronics Vol. 58; no. 3; pp. 985 - 992
Main Authors: Rodriguez, D. Z., Abrahao, J., Begazo, D. C., Rosa, R. L., Bressan, G.
Format: Journal Article
Language:English
Published: New York IEEE 01-08-2012
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Acceptability
Degradation
Electronics
End users
Measurement
MOS
Players
Position (location)
Protocols
QoE
Quality assessment
Segments
Streaming media
Subjective Test
TCP
TCP (protocol)
Temporal logic
Video Quality
Video sequences
Video Streaming
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Summary:There is a wide range of video services over complex transmission networks, and in some cases end users fail to receive an acceptable quality level. In this paper, the different factors that degrade users' quality of experience (QoE) in video streaming service that use TCP as transmission protocol are studied. In this specific service, impairment factors are: number of pauses, their duration and temporal location. In order to measure the effect that each temporal segment has in the overall video quality, subjective tests. Because current subjective test methodologies are not adequate to assess video streaming over TCP, some recommendations are provided here. At the application layer, a customized player is used to evaluate the behavior of player buffer, and consequently, the end user QoE. Video subjective test results demonstrate that there is a close correlation between application parameters and subjective scores. Based on this fact, a new metrics named VsQM is defined, which considers the importance of temporal location of pauses to assess the user QoE of video streaming service. A useful application scenario is also presented, in which the metrics proposed herein is used to improve video services.
Bibliography:ObjectType-Article-1
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content type line 23
ISSN:0098-3063
1558-4127
DOI:10.1109/TCE.2012.6311346