%0 Journal Article
%T An Object-based Video Zero-watermarking Algorithm Using Zernike Moments<br>基于Zernike矩的视频对象零水印算法
%A XU Da-wen
%A WANG Ji-cheng
%A WANG Rang-ding
%A <br>徐达文
%A 王继成
%A 王让定
%J 中国图象图形学报
%D 2009
%I 
%X In order to resist geometrical attacks, an object-based video watermarking algorithm using Zernike moments and image normalization is proposed in this paper. Rotation invariance is achieved by taking the magnitude of the Zernike moments. Image normalization method is used for scale and translation invariance. Though watermark signal can be embedded by modifying the Zernike moments of the cover image, the reconstruction procedure will suffer the fidelity degradation. Also, the reconstruction procedure requires Zernike moments with high order and this leads to a heavy computation load. In order to solve these problems, zero-watermarking technique is employed. Instead of embedding watermark, zero-watermarking technique extracts some essential characteristics from the host signal and uses them for watermark detection. Experimental results show that the scheme is robust against rotation, scaling, as well as a variety of common manipulations such as lossy compression, filtering and additive noise.
%K Zernike moment
%K zero-watermarking
%K video object
%K image normalization<br>Zernike矩
%K 零水印
%K 视频对象
%K 图像归一化
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=9A3A198CD76A5F9D7E62911B7448CD2F&yid=DE12191FBD62783C&vid=F3583C8E78166B9E&iid=9CF7A0430CBB2DFD&sid=BD667367F07B7EA7&eid=A7D9E4E50C1328C9&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=0&reference_num=14