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A Hybrid QoS-QoE Estimation System for IPTV Service

机译:用于IPTV服务的混合QoS-QoE估计系统

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The internet protocol television service (IPTV) has become a key product for internet service providers (ISP), offering several benefits to both ISP and end-users. Because packet networks based on internet protocol have not been prepared for time-sensitive services, such as voice or video, packet networks have had to adopt several mechanisms to secure minimal transmission standards in the form of data stream prioritization. There are two commonly used approaches for video quality assessment. The first approach needs an original source for comparison (full-reference objective metrics), and the second one requires observers for subjective evaluation of video quality. Both approaches are impractical in real-time transmission because it is difficult to transform an objective score into a subjective quality perception, and on the other hand, subjective tests are not able to be performed immediately. Since many countries worldwide put IPTV on the same level as other broadcasting systems (e.g., terrestrial, cable, or satellite), IPTV services are subject to regulation by the national regulation authority. This results in the need to prepare service qualitative criteria and monitoring tools capable of measuring end-user satisfaction levels. Our proposed model combines the principles of both assessment approaches, which results in an effective monitoring solution. Therefore, the main contribution of the created system is to offer a monitoring tool able to analyze the features extracted from the video sequence and transmission system and promptly translate their impact into a subjective point of view.
机译:互联网协议电视服务(IPTV)已成为互联网服务提供商(ISP)的关键产品,为ISP和最终用户提供了许多好处。由于尚未针对语音或视频等对时间敏感的服务准备基于Internet协议的分组网络,因此,分组网络必须采用多种机制来确保以数据流优先级的形式实现最小的传输标准。有两种常用的视频质量评估方法。第一种方法需要原始数据进行比较(完全参考客观指标),第二种方法需要观察者对视频质量进行主观评估。两种方法在实时传输中都是不切实际的,因为很难将客观分数转换为主观质量感知,并且另一方面,主观测试不能立即执行。由于全世界许多国家/地区都将IPTV与其他广播系统(例如地面,有线或卫星)置于同一级别,因此IPTV服务受国家监管机构的监管。这导致需要准备能够测量最终用户满意度的服务质量标准和监视工具。我们提出的模型结合了两种评估方法的原理,从而产生了有效的监控解决方案。因此,所创建系统的主要贡献是提供一种监视工具,该工具能够分析从视频序列和传输系统中提取的特征,并迅速将其影响转化为主观观点。

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