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Design and Anti-collusion Performance Analysis of a Quantization Based Orthogonal Fingerprinting Scheme

机译:基于量化的正交指纹方案的设计与抗冲突性能分析

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Multimedia fingerprinting is a technique to trace illegal redistribution of digital representations of multimedia content and to combat multi-user collusion attack. Among existing collusion resistant fingerprinting schemes, spread spectrum (SS) orthogonal fingerprinting has the best collusion resistance in non-blind detection, but in blind detection it shows inadequate performance. In this paper, we propose a novel quantization based orthogonal fingerprinting (QOFP) scheme that possesses good performance in non-blind and blind scenarios. To generate one fingerprinted copy, we implement subtractive dither quantization to the host signal with a dither sequence. By letting the elements in all dither sequences follow independent and identically distributed uniform distribution over a quantization step size, we make fingerprints embedded in different copies mutually orthogonal. Compared with SS orthogonal fingerprinting, our proposed QOFP has almost identical collusion resistance in non-blind detection and much better collusion resistance in blind detection.
机译:多媒体指纹识别是一种跟踪多媒体内容的数字表示形式的非法重新分发并应对多用户串通攻击的技术。在现有的抗共谋指纹方案中,扩频(SS)正交指纹图谱在非盲检测中具有最好的抗共谋性,但在盲检测中却表现出不足的性能。在本文中,我们提出了一种新颖的基于量化的正交指纹识别(QOFP)方案,该方案在非盲和盲场景中均具有良好的性能。为了生成一个指纹副本,我们使用抖动序列对主机信号实施减法抖动量化。通过让所有抖动序列中的元素在量化步长上遵循独立且相同分布的均匀分布,我们使嵌入不同副本中的指纹相互正交。与SS正交指纹图谱相比,我们提出的QOFP在非盲检测中具有几乎相同的抗串扰性,在盲检测中具有更好的抗串扰性。

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