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Quantization based Semi-fragile Watermarking Scheme for H.264 Video

机译:H.264视频的量化基于半脆弱水印方案

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Although, many fragile video watermarking techniques have been proposed as an effective solution to content authentication problems, they cannot effectively distinguish between legal attacks and illegal attacks. In order to solve this problem, this paper proposes a novel semi-fragile video watermarking algorithm for H.264 video. Traditional fragile video watermarking methods often select the motion vectors as the embedding positions, while our scheme adopt the intra-prediction residuals after Integer DCT (Discrete Cosine Transform) and quantization to be embedding locations. During the watermark embedding process, we modify the standard H.264 quantizer and we embed the watermark based on the dither modulation technique in order to extract the watermark blindly. In the watermark extraction process, this paper adopts a threshold to distinguish between illegal attacks and legal attacks performed on the video clip. Experimental results demonstrate the effectiveness and feasibility of the proposed algorithm and the proposed scheme can survive legal recompression operations and recognize illegal filtering operations.
机译:虽然,许多易碎的视频水印技术已经提出作为内容认证问题的有效解决方案,但它们无法有效地区分法律攻击和非法攻击。为了解决这个问题,本文提出了一种用于H.264视频的新型半易碎视频水印算法。传统的脆弱视频水印方法通常选择运动矢量作为嵌入位置,而我们的方案在整数DCT(离散余弦变换)之后采用了帧内预测残差和嵌入位置。在水印嵌入过程中,我们修改了标准的H.264量化器,我们基于抖动调制技术嵌入水印,以便盲目地提取水印。在水印提取过程中,本文采用阈值来区分非法攻击和在视频剪辑上执行的法律攻击。实验结果表明,该算法的有效性和可行性和所提出的方案可以存活法律重新压缩操作并识别非法过滤操作。

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