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Zero-Based Code Modulation Technique for Digital Video Fingerprinting

机译:基于零的数字视频指纹编码调制技术

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摘要

Digital fingerprinting is a technique to protect digital contents from illegal reproduction and redistribution by marking unique information for individual user. A powerful but simple attack to diminish fingerprint signals is averaging. While several fingerprinting schemes against collusion attacks were proposed, they often do not fully account for multimedia data. In this paper, we propose a zero-based code modulation method which fully reflects marking assumption concept to embedding and detection of signals and anti-collusion code working mechanism as well. By manipulating 0-bit information of binary codes, detection accuracy and code separation under averaging attacks were enhanced. To demonstrate our method, we used an averaging-resilient fingerprint code based on GD-PBIBD theory and applied it video fingerprinting systems. Through the experimental results, we convince our method improves averaging resiliency of fingerprinting systems.
机译:数字指纹技术是一种通过为单个用户标记唯一信息来保护数字内容免遭非法复制和再分发的技术。平均而言,一种强大而简单的攻击来减少指纹信号。虽然提出了几种针对共谋攻击的指纹方案,但是它们通常不能完全解决多媒体数据的问题。本文提出了一种从零开始的编码调制方法,该方法充分体现了标记假设的概念在信号的嵌入和检测以及反共谋代码的工作机制中的应用。通过处理二进制代码的0位信息,提高了平均攻击下的检测精度和代码分离。为了演示我们的方法,我们使用了基于GD-PBIBD理论的平均弹性指纹代码,并将其应用于视频指纹系统。通过实验结果,我们相信我们的方法可以提高指纹系统的平均弹性。

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