No-Reference Modeling for Quality ofExperience Evaluation on IPTV
首发时间:2013-08-28
Abstract:IPTV services are becoming one of the most promising applications over the next generation network. End user's subjective perception on IPTV services, namely Quality of Experience (QoE), is increasingly gaining attention by service provider. In this paper, a no-reference QoE evaluation model is proposed to forecast the end user's perception on IPTV services. Our proposed model derived a mapping function assessing subjective quality from network-related quality of service (QoS) parameters, amended by video bit rate and motion parameter, which affect the degree of video quality robustness due to network impairments. The Pearson Correlation Coefficient between QoE score and MOS is achieved 0.957 and the Root Mean Square Error (RMSE) is 0.248. Therefore, our proposed model can be applied to evaluate end user's perception on IPTV services with considerable accuracy.
keywords: Quality of Experience IPTV objective qualityassessment no-reference
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IPTV视频QoE评估策略的研究及应用
摘要:IPTV服务的用户体验质量(QoE:Quality of Experience)正逐渐被服务提供商所关注。本文提出了一个无参考的QoE评价模型,用于预测IPTV服务的用户感受。该模型建立了从网络服务质量(QoS:quality of service)到主观质量的映射,由于在网络损伤条件下视频比特率及运动性会影响视频质量鲁棒性,因此我们用这两个参数对映射进行修正。该模型的皮尔逊相关系数0.957,均方误差(RMSE :Root Mean Square Error)为0.248。数据表明,此模型可准确预测IPTV服务的用户主观感受。
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