Accurate Available Bandwidth Allocation in HTTP Adaptive Streaming

Tan, Phan Xuan; Kamioka, Eiji

doi:10.5121/ijcnc.2017.9507

Cited by 2 publications

(2 citation statements)

References 13 publications

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“…were asked to watch a short movie with the duration of 2 minutes, then, to provide their subjective evaluation following the 5-scale MOS. The setup of this experiment was the same as those of our previous works in [38],…”

Section: Discussionmentioning

confidence: 99%

“…Therefore, it was chosen as the stimulus type in this research. There P. X. Tan, E. Kamioka Journal of Computer and Communications are copious existing models which have a capability to interpret the video rate to QoE (indicated by Mean Opinion Score) and vice versa [38] [39], and thus, the video rate threshold can be used for the trigger of control action in QoE management, instead of QoE threshold.…”

Section: Modelling Of Biological Informationmentioning

confidence: 99%

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Collaborative Approach Using Psychophysiology and Psychophysics for Optimal Threshold Determination in HAS Service QoE Management

Tan¹,

Kamioka²

2018

JCC

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In HTTP adaptive streaming (HAS) services, Quality of Experience (QoE) management has increasingly played an important role in guaranteeing the expected video quality perceived by the users with the minimal network resource. To achieve this, QoE must be automatically monitored and accurately controlled when it falls to a specific threshold. However, how to determine the QoE threshold with a scientific basis has not been carefully studied yet. In this paper, a new method to determine a QoE threshold based on biological information is proposed for a QoE management in HAS services. More concretely, the QoE threshold is determined by modeling the impact of the stimulus on the biological information obtained from the users who are watching videos. As the biological information, Skin Conductance and Heart Rate associated with Autonomic Nervous System (ANS) have been investigated. The evaluation results demonstrate that the QoE management by using the determined threshold can save more than 4.855% of the bandwidth consumption per control ensuring as high video quality as by using the fair threshold.

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Section: Discussionmentioning

confidence: 99%

Section: Modelling Of Biological Informationmentioning

confidence: 99%