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Detection of Motion-Incoherent Components in Video Streams

机译:视频流中运动不连贯成分的检测

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摘要

Motion coherency has recently been identified as a desirable property for watermarks embedded within video streams in order to withstand temporal frame averaging along the motion axis. Nevertheless, no tool has been proposed to easily evaluate the motion coherency of a given watermarking system. Today, this assessment relies on a computationally expensive procedure, namely, 1) embed a watermark, 2) perform temporal frame averaging, and 3) check for the presence of the watermark. In this article, a novel oracle is designed to detect whether a video stream contains any motion-incoherent component or not. Since such incoherence can be introduced by nonmotion-coherent watermarking algorithms, this tool has proven to be most valuable to distinguish watermarked from nonwatermarked content. The oracle relies on some features extracted from error frames after motion compensation. Experimental results demonstrate the efficiency of the proposed method with uncompressed and compressed video streams.
机译:运动连贯性最近已被确定为嵌入视频流中的水印的理想属性,以便承受沿运动轴的时间帧平均。然而,尚未提出任何工具来容易地评估给定水印系统的运动连贯性。如今,这种评估依赖于计算上昂贵的过程,即1)嵌入水印,2)执行时间帧平均和3)检查水印的存在。在本文中,一种新颖的预言机被设计用来检测视频流是否包含任何运动不相关的分量。由于这种不连贯性可以通过非运动相干水印算法引入,因此已证明该工具对于区分水印和非水印内容最有价值。 oracle依靠运动补偿后从错误帧中提取的某些功能。实验结果证明了该方法在未压缩和压缩视频流下的有效性。

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