标题： 面向具有时变空间复杂性的实时交互视频的QoE感知流量管理 显示英文标题

标题： On QoE-Aware Traffic Management for Real-time, Interactive Video with Time-variant Spatial Complexity

摘要： 我们分析了空间复杂度，定义为所需比特率与相应画面质量体验（QoE）指标之间的关系，针对现实、长时、实时、交互式视频片段。 除了不同内容类型之间的变化，例如游戏类型，我们发现片段内从秒到秒的时间变化性，并探讨了对流量管理的影响。 我们引入了效用作为一种优雅的方式来管理资源共享偏好。 我们对资源共享方法的分析表明，频繁的QoE感知重新分配相比静态速率分配具有显著的性能优势，即使后者基于关于长期平均空间复杂度的丰富信息。 我们还证明了基于效用的资源分配方法优于针对平等QoE分配的方法，它提高了平均QoE，同时仍然控制最坏情况下的QoE。 显示英文摘要

摘要： We analyzed spatial complexity, defined as the relationship between the required bitrate and a corresponding picture Quality of Experience (QoE) metric, for realistic, long, real-time, interactive video clips. Apart from variation across different content types, e.g., game genres, we discovered time-variability within a clip from second to second, and explored the ramifications for traffic management. We introduced utility as an elegant way to manage resource sharing preferences. Our analysis of resource sharing methods shows that frequent QoE-aware reallocation has significant performance advantages compared to static rate allocation, even in case the latter is based on rich information about long-term average spatial complexity. We have also shown that utility-based resource allocation has clear advantages over methods targeting equal QoE allocation, it increases the average QoE, while it still controls the worst case QoE.