论文标题
一项研究多种因素对视频资格的影响的研究
A Study on Impacts of Multiple Factors on Video Qualify of Experience
论文作者
论文摘要
HTTP自适应流（HAS）已成为当今多媒体交付的一种经济高效手段。但是，经验质量（QoE）如何共同影响1）不同的感知质量和2）中断并不理解。在本文中，我们提出了第一次尝试量化这些因素对流媒体Qoe的相对影响的尝试。为了实现此目的，我们首先使用直方图对因素的影响进行建模，该直方图代表了会话中各个因素的频率分布。通过使用大型数据集，提供了对这些因素的相对影响的各种见解，作为改善流媒体会话Qoe的建议。
HTTP Adaptive Streaming (HAS) has become a cost-effective means for multimedia delivery nowadays. However, how the quality of experience (QoE) is jointly affected by 1) varying perceptual quality and 2) interruptions is not well-understood. In this paper, we present the first attempt to quantitatively quantify the relative impacts of these factors on the QoE of streaming sessions. To achieve this purpose, we first model the impacts of the factors using histograms, which represent the frequency distributions of the individual factors in a session. By using a large dataset, various insights into the relative impacts of these factors are then provided, serving as suggestions to improve the QoE of streaming sessions.
