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No-reference algorithms for video quality assessment based on artifact evaluation in MPEG-2 and H.264 encoding standards

机译:基于MPEG-2和H.264编码标准的伪影评估的视频质量评估无参考算法

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In this paper, we propose two algorithms to assess quality in video sequences when no reference is available. The algorithms are the result of measuring artifacts such as blurring or tiling to the decoded image; firstly tested in MPEG-2 compression standard, and subsequently, analyzing the passage from this standard to its evolution H.264, taking into account its advanced techniques to mask the degradation, for example, the deblocking filtering or the variation in macroblocks size. The result of each metric affects in a different way depending on the spatial and temporal complexity of the video sequence. Several tests have been developed in a collection of representative sequences to demonstrate the efficiency of the algorithms.
机译:在本文中,我们提出了两种在没有参考可用的情况下评估视频序列质量的算法。该算法是测量伪影(例如模糊或平铺到解码图像上)的结果;首先在MPEG-2压缩标准中进行测试,然后考虑到其掩盖降级的先进技术(例如,解块滤波或宏块大小的变化),分析了从该标准到其演进H.264的过程。每个度量的结果取决于视频序列的空间和时间复杂度,以不同的方式影响。已经在代表性序列的集合中开发了一些测试,以证明算法的效率。

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