论文标题
与非全能因素的时间下采样视频的匹配质量评估
Matched Quality Evaluation of Temporally Downsampled Videos with Non-Integer Factors
论文作者
论文摘要
最近的研究表明，可以利用高帧速率序列的时间下采样来提高视频编码中的速率延伸性能。但是，到目前为止，研究仅针对两个幂的减小因子，这极大地限制了时间下采样的潜在适用性。主要原因是传统的，客观的质量指标，例如峰值信噪比或更近的方法，试图模仿主观质量，只能在两个序列比率为整数值的序列之间进行评估。为了缓解此问题，我们提出了一种质量评估方法，该方法允许计算两个帧速率比率为小数的序列之间的失真。所提出的方法可以应用于任何全参考质量指标。
Recent research has shown that temporal downsampling of high-frame-rate sequences can be exploited to improve the rate-distortion performance in video coding. However, until now, research only targeted downsampling factors of powers of two, which greatly restricts the potential applicability of temporal downsampling. A major reason is that traditional, objective quality metrics such as peak signal-to-noise ratio or more recent approaches, which try to mimic subjective quality, can only be evaluated between two sequences whose frame rate ratio is an integer value. To relieve this problem, we propose a quality evaluation method that allows calculating the distortion between two sequences whose frame rate ratio is fractional. The proposed method can be applied to any full-reference quality metric.
