qocenter:流媒体视频服务QoE评估的可视化平台

Lingyan Zhang, Shangguang Wang, Fangchun Yang, Rong N. Chang
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引用次数: 9

摘要

如何有效、高效地对基于网络的流媒体视频服务进行体验质量评价是一个挑战。为了克服这一挑战,我们创建了QoECenter,这是一个基于网络的视觉平台,创新地促进了对流媒体视频服务的全面QoE评估。QoECenter通过一套集成的技术来进行QoE评估,包括源视频分类、视频编码和网络传输的QoS实现以及上下文感知的用户体验数据收集和分析。从qocenter消费者的角度来看,端到端流视频QoE评估需要三种数据:视频源级数据、系统流程级数据和最终用户级数据。QoECenter为每个数据级别提供了参数设置和数据采集的可视化界面,并支持客观和主观数据驱动的QoE分析。qocenter用户可以轻松地进行比较QoE评估,比如运行易于使用的可视化应用程序。qocenter的有效性和高效性设计目标已通过各种实际实验得到验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
QoECenter: A Visual Platform for QoE Evaluation of Streaming Video Services
It is challenging to conduct quality of experience (QoE) evaluations of web-based streaming video services effectively and efficiently. Aiming to overcome this challenge, we have created QoECenter, a web-based visual platform that innovatively facilitates comprehensive QoE evaluations of the streaming video services. QoECenter offers a holistic approach to conducting the QoE evaluations via an integrated set of technologies for source video classification, QoS realization of video encoding and network transmission, and context-aware user experience data gathering and analysis. From a QoECenter consumer's viewpoint, three kinds of data are required for an end-to-end streaming video QoE evaluation: video source level data, system process level data, and end user level data. QoECenter provides visual interfaces for parameter setting and data acquisition for each data level, and supports both objective and subjective datadriven QoE analyses. A QoECenter consumer can easily conduct comparative QoE evaluations like running easy-to-use visual applications. The effectiveness and efficiency design objectives of QoECenter have been validated by various real experiments.
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