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Over-the-top (OTT) video streaming services have been growing rapidly in the last decade, and thus increasing Quality-of-Experience (QoE) of end users is of great interest in emerging services. Although, numerous subjective studies have been conducted to investigate the impact of video presentation quality and playback interruptions, understanding the interactions between impairment types is still an open problem. In this work, we develop a streaming video dataset that contains compressed videos with different distortion levels as well as playback stalling events. Then, a subjective user study is performed to measure the QoE of these videos. The results of our experiment reveal strong dependency between video presentation quality and playback interruptions that provides useful insight for designing QoE models in video streaming.
Yeganeh et al. (Fri,) studied this question.