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Fingerprinting with Wow

机译:哇用指纹

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摘要

Wow, or time warping caused by speed fluctuations in analog audio equipment, provides a wealth of applications in watermarking. Very subtle temporal distortion has been used to defeat watermarks, and as components in watermarking systems. In the image domain, the analogous warping of an image's canvas has been used both to defeat watermarks and also proposed to prevent collusion attacks on fingerprinting systems. In this paper, we explore how subliminal levels of wow can be used for steganography and fingerprinting. We present both a low-bitrate robust solution and a higher-bitrate solution intended for steganographic communication. As already observed, such a fingerprinting algorithm naturally discourages collusion by averaging, owing to flanging effects when misaligned audio is averaged. Another advantage of warping is that even when imperceptible, it can be beyond the reach of compression algorithms. We use this opportunity to debunk the common misconception that steganography is impossible under "perfect compression."
机译:哇,或者说是模拟音频设备中速度波动引起的时间扭曲,在水印中提供了很多应用。非常细微的时间失真已被用来打败水印,并作为水印系统的组成部分。在图像领域,图像画布的类似变形不仅被用于消除水印,还被提议用于防止对指纹系统的串通攻击。在本文中,我们探讨了哇的阈下水平如何用于隐写术和指纹识别。我们同时提供了用于密文通信的低比特率鲁棒解决方案和高比特率解决方案。如已经观察到的那样,由于当平均未对准音频时的镶边效果,这种指纹算法自然通过平均来阻止串通。翘曲的另一个优点是,即使无法察觉,它也可能超出压缩算法的范围。我们借此机会揭穿了人们普遍的误解,即在“完美压缩”下隐写术是不可能的。

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