论文标题

在现有视频编解码器中使用现代运动估计算法

Using modern motion estimation algorithms in existing video codecs

论文作者

Ringis, Daniel J., Singh, Davinder, Pitie, Francois, Kokaram, Anil

论文摘要

运动估计是任何现代视频编解码器的关键组成部分。自2000年以来,我们对运动和动作的估计的理解已经走了很长一段路。Scharstein等人最近审查了135多种不同的算法。这些新的算法与块匹配明显不同,这是视频压缩的中流型。本文使用不同的运动估计方法对H.264和MP4压缩进行了比较。在这样做时,我们也提出了调整预计运动字段以在编解码器中使用的方法。我们没有观察到所选的W.R.T.的方法有显着的收益。速率扭曲权衡取舍,但结果反映了运动和压缩之间的相互关系比预期的要复杂得多。为了改善与新兴标准的比较的覆盖范围,还有很多事情要做,但是这些初步结果表明,这些探索中有价值。

Motion estimation is a key component of any modern video codec. Our understanding of motion and the estimation of motion from video has come a very long way since 2000. More than 135 different algorithms have been recently reviewed by Scharstein et al http://vision.middlebury.edu/flow/. These new algorithms differ markedly from Block Matching which has been the mainstay of video compression for some time. This paper presents comparisons of H.264 and MP4 compression using different motion estimation methods. In so doing we present as well methods for adapting pre-computed motion fields for use within a codec. We do not observe significant gains to be had with the methods chosen w.r.t. Rate Distortion tradeoffs but the results reflect a significantly more complex interrelationship between motion and compression than would be expected. There remains much more to be done to improve the coverage of this comparison to the emerging standards but these initial results show that there is value in these explorations.

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