移动流媒体用户QoE评估模型

发布时间：2018-06-19 14:55

本文选题：HAS + QoE　；参考：《计算机科学》2017年S2期

【摘要】：HAS(HTTP Adaptive Streaming)能够实现流畅播放和视频质量的平衡,为用户提供更好的服务质量体验。大多数基于HAS的流媒体用户体验质量(Quality of Experience,QoE)模型考虑了当前系统或网络条件,但对用户所处环境的客观影响、用户心理因素的考虑较少。面向移动流媒体客户端的应用场景,从客观感知影响参数和心理效应影响参数两个方面来考虑移动端流媒体的QoE影响因素,设计用户QoE评估模型。提出移动设备抖动状态检测和用户观看位置检测方法,并将设备抖动状态、用户观看位置与流媒体服务质量相结合,再根据心理学系列位置效应来综合评估用户的质量体验情况。最后通过实验证明了所提的用户QoE模型能够提供准确有效且符合用户实际体验的QoE评估结果。
[Abstract]:Hash HTTP Adaptive streaming can achieve smooth playback and video quality balance, and provide users with a better quality of service experience. Most of the streaming media user experience quality of experience QoS (QoS) models based on has take into account the current system or network conditions, but the objective impact on the user's environment, the user psychological factors are less considered. In the application scenario of mobile streaming media client-side, the influent factors of QoS of mobile streaming media are considered from two aspects of objective perception affecting parameter and psychological effect influence parameter, and user QoS evaluation model is designed. A method of mobile device jitter state detection and user viewing position detection is proposed, and the device jitter state, user viewing position and streaming media quality of service are combined. Then according to the psychological series of location effect to evaluate the quality of the user experience. Finally, it is proved by experiments that the proposed model can provide accurate and effective QoS evaluation results in accordance with the user's actual experience.
【作者单位】：浙江工业大学计算机科学与技术学院;
【基金】：浙江省重大科技专项重大工业项目(2012C11026-2)资助
【分类号】：TN919.8

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