%0 Journal Article
%T Adaptively Imperceptible Video Watermarking Algorithm Using Entropy Model<br>基于熵模型的高透明性自适应视频水印算法
%A LI Zhi
%A CHEN Xiao-Wei
%A <br>李智
%A 陈孝威
%J 软件学报
%D 2010
%I 
%X An adaptively imperceptible video watermarking algorithm using entropy model is proposed. This algorithm works by first combining the Human Visual System (HVS) with block-matching techniques to obtain motion-related information. It then uses entropy model to statistically analyze the obtained information, and eventually establish a set of non-linear formulas based on HVS and motion information. Based on the contents of video frames, this set of non-linear formulas can adaptively calculate the maximum strength of every block. Experimental results show that using entropy model and non-linear formulas can significantly improve watermarking imperceptibility, effectively resist common attacks for video watermarking, and consequently achieve higher robustness.
%K human visual system
%K block motion estimation of video
%K largest embedding strength of watermarking
%K model of entropy<br>人类视觉系统(HVS)
%K 视频分块运动估计
%K 水印最大嵌入强度
%K 熵模型
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=7735F413D429542E610B3D6AC0D5EC59&aid=6CEAB7867F854C734E66D6FB445AC27C&yid=140ECF96957D60B2&vid=659D3B06EBF534A7&iid=DF92D298D3FF1E6E&sid=4C12600E16738B59&eid=10AEA069F4433410&journal_id=1000-9825&journal_name=软件学报&referenced_num=0&reference_num=20