An objective multi-layer QoE Evaluation for TCP video streaming

Abstract

It's a challenge to effectively assess Quality of Experience (QoE) for TCP video streaming with network performance parameters, to resolve this problem, an objective hierarchical Evaluation for Transmission Control Protocol (TCP) video streaming is proposed under video playback scenarios. QoE assessment for TCP video streaming is resolved into two sub-steps. In the first place, in consideration of video playback performance parameters affecting QoE, the authors demonstrate three novel application-layer metrics. Further, impact of network status on video playback performance is investigated and the authors propose high level network-layer parameters. Then the correlation between the network-layer parameters and application-layer metrics is characterized through analysis and inference. In the secondly place, subjective tests are conducted to evaluate QoE from application-layer metrics. Ultimately, the authors validate analysis and model by simulations and experiments in real networks. The experimental study shows that the proposed method performs well in assessing QoE of TCP video streaming.

The effect of labeling on the perceived quality of HDR video transmission

“…Thus, one single stalling duration was used for every test condition, and the stimuli only varied in content and the positioning of the event. The duration of 500 ms was chosen, which is, according to the literature, a clearly perceivable duration (van Kester et al 2011;Usman et al 2015;Staelens et al 2010;Yu et al 2015;Kara et al 2016a, b). The test participants were not aware that the stalling duration was the same in every stimulus.…”

Integrating Visual and Network Data with Deep Learning for Streaming Video Quality Assessment

“…These consider the Hypertext Transfer Protocol (HTTP) on top of the Transmission Control Protocol (TCP), which constitutes the primary protocol for multimedia content delivery over the Internet [11]. Despite the fact that TCP provides reliable delivery of data leading to the effective transmission of packets, delay of data due to changes to network conditions may exist, thus resulting in affecting video quality [6,13]. Given these conditions, the actions that a provider can take are related to the introduction of Automatic BitRate (ABR) for continually adjusting the quality (i.e., bitrate) of the video.…”