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Rule-based combination of video quality metrics

机译:基于规则的视频质量指标组合

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Lately, several algorithms have been proposed to automatically estimate the quality of video sequences, even some have been included in international standards. However, the majority only provide high performance under particular conditions and with certain types of degradations. Therefore, some proposals have been presented setting out the combination of various quality metrics to improve the performance and the range of application. In this paper, a rule-based combination of standardized metrics is presented, in contrast to most of these type of approaches based on combinational models. The proposed system consists of a first stage in which the type of degradation affecting the video quality is identified to be caused by coding impairments or transmission errors. Then, the most appropriate metric for that distortion is applied. Specifically, VQM and VQuad have been considered for coding and transmission distortions, respectively. The results show that the overall performance is better than using the quality metrics individually.
机译:最近,已经提出了几种算法来自动估计视频序列的质量,甚至有一些算法已被包括在国际标准中。但是,大多数仅在特定条件下以及某些类型的降级情况下才能提供高性能。因此,提出了一些建议,提出了各种质量指标的组合,以提高性能和应用范围。与大多数基于组合模型的方法相比,本文提出了一种基于规则的标准化度量标准组合。所提出的系统包括第一阶段,在第一阶段中,影响视频质量的劣化类型被识别为是由编码缺陷或传输错误引起的。然后,应用最适合该失真的度量。具体而言,已经考虑将VQM和VQuad分别用于编码和传输失真。结果表明,总体性能要比单独使用质量指标更好。

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