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Use of Inferential Statistics to Estimate Error Probability of Video Watermarks

机译:使用推论统计来估计视频水印的错误概率

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摘要

Errors in video watermark detection can cause serious problems, such as erroneous indication of illegal copying and erroneous copy control. These errors could not, however, be eliminated because watermarked pictures are subjected to wide varieties of image processing such as compression, resizing, filtering, or D/A or A/D conversion. Estimating errors of video watermarks is therefore an essential requirement for electric equipment that is to use copyright and copy-control information properly. This paper proposes a video watermarking method that estimates error probability from each watermarked frame at hand after image processing by using the expectation-maximization algorithm from inferential statistics. The paper also proposes a reliable detection system of video watermarks by using the proposed method. Experimental evaluations have shown that the new method can be used reliably with the margin factor and can be widely used in electric equipment as well as content-distribution systems.
机译:视频水印检测中的错误可能会导致严重的问题,例如错误指示非法复制和错误复制控制。但是,由于带有水印的图片要经过各种各样的图像处理,例如压缩,调整大小,滤波或D / A或A / D转换,因此无法消除这些错误。因此,估计视频水印的错误是电气设备的一项基本要求,该电气设备必须正确使用版权和复制控制信息。本文提出了一种视频水印方法,该方法利用推断统计中的期望最大化算法,估计图像处理后手边每个水印帧的错误概率。该文还提出了一种可靠的视频水印检测系统。实验评估表明,该新方法可以可靠地与裕度因子一起使用,并且可以广泛应用于电气设备以及内容分配系统中。

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