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中文摘要：
针对现有视频水印算法很少考虑视频帧中确定的目标区域这一问题，提出一种基于Krawtchouk矩的视频水印算法（KVW）。该算法利用Krawtchouk矩的目标区域提取能力，选取视频I帧中较为重要的信息区域作为水印的嵌入域。结合Krawtchouk低阶矩对剪切攻击的鲁棒性以及视频帧间相似度较高的特点，选择I帧和相邻P帧中相对稳定的低阶Krawtchouk矩作为最优矩集合。根据随机水印比特自适应地修改集合中的矩，并对差矢量进行Krawtchouk矩重构，通过将差值图像在空域迭加到I帧嵌入水印。水印检测时，首先计算受攻击I帧的Krawtchouk矩，以最优矩集合作为密钥，用相邻P帧Krawtchouk矩替代原始I帧数据提取水印，改善算法对原始数据的依赖性。实验结果表明，KVW算法在保证获得很好图像质量的同时，能够很好地抵抗帧剪切攻击以及常规的信号处理。
英文摘要：
A new video watermarking scheme is presented based on Krawtchouk moments（KVW）. The ‘localness＇ property of Krawtchouk moments（KMs） permits the watermark to be inserted locally at a certain object region selected by the user. KVW first computes KMs of I frame and the adjacent P.frame after selecting the same most significant object region. The robustness to the cropping of lower KMs and high similarity between video frames are combined to select an optimal moment set. The moments in the optimal moment set are modified according to the random watermark bits. The difference vec- tor is reconstructed and added to I frame in spatial domain to obtain the watermarked I frame. In detection,the KMs of the possibly attacked I frame are computed. And the KMs of original I frame are substitued by the adjacent KMs of P frame selected in the optimal moment set as the key to extract watermark bits. Extensive simulation results show that KVW achieves good image quality and it is robust to frame cropping and common signal processing attacks.
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