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Identify Regions of Interest(ROI) for video watermark embedment with Principle Component Analysis

机译:使用主成分分析确定视频水印嵌入的感兴趣区域(ROI)

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The temporal redundancy of video provides a greater space than images for information hiding at the expense of invitation towards many forms of spttial and temporal attacks, such as frame dropping, frame averaging that are not common in images. With video, the active change of watermark placement location serves as an effective counterattack measure. In this paper, we utilize principal components of joint feature observation of video frames to robustly determiates the need of storing original sequence and is robust against common attacks.
机译:视频的时间冗余提供了比图像均以倾向于许多形式的SPTIAL和时间攻击的信息,例如帧丢失,图像中不常见的帧平均值的信息的更大的空间。利用视频,水印放置位置的主动变化用作有效的反击措施。在本文中,我们利用了视频帧的共同特征观察的主要组成部分来强大地确定存储原始序列的需要,并且对常见攻击具有稳健。

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