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A Novel Scene-Based Video Watermarking Scheme for Copyright Protection

机译:一种用于版权保护的新型场景视频水印方案

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摘要

Many illegal copies of original digital videos are being made, as they can be replicated perfectly through the Internet. Thus, it is extremely necessary to protect the copyrights of the owner and prevent illegal copying. This paper presents a novel approach to digital video watermarking for copyright protection using two different algorithms, whereby successive estimation of a statistical measure was used to detect scene boundaries and watermark was embedded in the detected scenes with discrete wavelet transform. Haar wavelet was used for decomposition. For embedding, the approaches used were (i) the detailed subband (LH subband) and (ii) the approximate subband (LL subband) of the cover video. Imperceptibility, robustness, and channel capacity were measured using both algorithms. The system was tested for robustness in the presence of 15 different attacks of five different categories, and, under multiple attacks, ensured that a wide spectrum of attack analysis has been done. The performance metrics measured included mean square error, peak signal-to-noise ratio, structural similarity index, normalized correlation, and bit error rate. The experimental results demonstrated the better visual imperceptibility and improved performance in terms of normalized correlation and bit error rate with embedding using the LL subband. Comparative analysis with existing schemes proved the improved robustness, better imperceptibility, and reduced computational time of both the proposed schemes.
机译:正在制作许多原始数字视频的非法副本,因为它们可以通过互联网完美地复制。因此,非常有必要保护所有者的版权并防止非法复制。本文介绍了一种使用两个不同算法进行版权保护的数字视频水印的新方法,从而使用统计测量的连续估计来检测场景边界,并在具有离散小波变换的检测场景中嵌入水印。 Haar小波用于分解。为了嵌入,所使用的方法是(i)详细的子带(LH子带)和(ii)封面视频的近似子带(LL子带)。使用这两种算法测量难以易于的,鲁棒性和信道容量。该系统在5种不同类别的15种不同攻击存在下进行鲁棒性测试,并且在多次攻击下,确保已经完成了广泛的攻击分析。测量的性能度量包括均方误差,峰值信噪比,结构相似性指数,归一化相关性和误码率。实验结果表明,在归一化相关性和误码率方面,使用LL子带嵌入的归一化相关性和误码率更好的性能。现有计划的比较分析证明了提高的鲁棒性,更好的难以察觉力和提出的计划的计算时间。

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