Using Factor Analysis Techniques to Find Out Objective Video Quality Metrics for Live Video Streaming over Cloud Mobile Media Services

M. García-Pineda, Santiago Felici-Castell, Jaume Segura-García
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引用次数: 15

Abstract

The increased adoption of smartphones, the access to mobile broadband networks and the availability of public Clouds allow new multimedia services, called Cloud Mobile Media Services. Under this new architecture the proliferation of live video streaming applications and the Quality of Experience (QoE) given by the final user are an issue, due to the higher and variable delay, as result of the virtualization methods used in the Clouds. Thus in this paradigm new challenges appear related to keep and estimate a good QoE in terms of a standarized subjective video quality called Mean Opinion Score (MOS). In this paper we analyze different approaches based on Factor Analysis techniques to estimate the subjective MOS both using Full Reference and Non Reference approaches. We compare the performance of the estimated MOS against publicly available video quality algorithms.
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利用因子分析技术找到基于云移动媒体服务的实时视频流的客观视频质量指标
智能手机的日益普及、移动宽带网络的接入以及公共云的可用性使得新的多媒体服务成为可能,这些服务被称为云移动媒体服务。在这种新架构下,由于云中使用的虚拟化方法导致更高和可变的延迟,实时视频流应用程序的激增和最终用户提供的体验质量(QoE)成为一个问题。因此,在这个范例中,新的挑战出现了,即根据标准化的主观视频质量(称为平均意见分数(Mean Opinion Score, MOS))来保持和评估良好的QoE。本文分析了基于因子分析技术的主观MOS估计方法,包括完全参考法和非参考法。我们将估计的MOS的性能与公开可用的视频质量算法进行比较。
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