A Novel Differential Energy Video Watermarking Based on Watson Visual Model

摘要：

This paper proposes a novel differential energy watermarking based on the Watson visual model, which inserts robust watermark into video streaming according to the differential energy theory. This algorithm can control the watermarks embedding intensity of sub-low AC coefficients in the video streaming adaptively based on the Watson visual model. And it also can choose the region to embed watermark according to the relationship between the energy adjustable threshold and their differential energy. So watermark not only meets the non-visual perception, but also has the better robustness. Experiments show that this algorithm has strong robustness and security against the usual video attacks such as noise, filter and frame attack etc with low complexity of energy computation. This algorithm will be applied to the multimedia copyrights protection.

关键词： Watson Visua IModel self-adaptation Videostream Differential Energy Copyright Protection

作者: Tanfeng Sun Xinghao Jiang Shusen Shi Zhigao Lin Guanglei Fu

作者单位: School of Information Security Engineering, Shanghai Jiao-tong University, Shanghai, China Shanghai School of Information Security Engineering, Shanghai Jiao-tong University,Shanghai, China

会议类型: 国际会议

会议名称: Second International Symposium on Electronic Commerce and Security(第二届电子商务与安全国际研究大会)(ISECS 2009)

会议地点: 南昌

会议语种:英文

页码: 179-183

在线出版日期: 2009-05-22（万方平台首次上网日期，不代表论文的发表时间）