The temporal redundancy of video provides a greater space than images for information hiding at the expense of invitation towards many forms of spatial 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 determine the location of watermark embedment. The approach eliminates the need of storing original sequence and is robust against common attacks.
机译:使用主成分分析和聚类算法识别区域建设的电源因子和转化模式
机译:搜索嵌入水印可能性的MPEG-4视频编码方法分析。第一部分
机译:搜索嵌入水印可能性的MPEG-4视频编码方法分析。第二部分
机译:通过主成分分析识别视频水印嵌入的感兴趣区域(ROI)
机译:数字视频水印原理可抵抗串通和插值攻击。
机译:突变分析确定了三个功能区 酿酒酵母中的纺锤极成分Spc110p
机译:具有独立分量分析的鲁棒盲图像水印:一种嵌入算法