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脑启发视频用户体验评测关键技术

作者:陶晓明,杜冰,段一平 阅读量:1220

脑启发视频用户体验评测关键技术

陶晓明1,杜冰2,段一平1
(1. 清华大学,中国 北京 100084;2. 北京科技大学,中国 北京 100083

摘要:基于脑电图(EEG)响应趋同性的生理学机理,研究了基于脑电响应特征的体验质量(QoE)度量方法,实现小样本稳定度量;建立网络关键性能指标(KPI)、服务关键质量指标(KQI)与QoE之间的映射关系模型。该模型可有效地提升多媒体服务和网络资源协同的优化空间,为显著提升多媒体业务支持能力提供新途径。 
关键词:用户体验;深度学习;脑电;评测 


Key Techniques of Brain Inspired Video QoE Prediction

TAO Xiaoming1, DU Bing2, DUAN Yiping1
1. Tsinghua University, Beijing 100084, China; 2. University of Science and Technology Beijing, Beijing 100084, China)

Abstract: Based on the physiological mechanism of electroencephalogram (EEG) response convergence, experience quality (QoE) measurement method based on EEG response characteristics is studied to realize small sample stability measurement. Furthermore, the key performance indicator (KPI) and key quality indicator (KQI) are established based on this model. By this way, the optimization space of multimedia services and network resources collaboration can be effectively improved, and a new way to significantly enhance multimedia business support capabilities is provided.
Keywords: quality of experience; deep learning; electroencephalogram; evaluation

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