Research On Robust Video Watermarking

Digital watermarking is regarded as an important technique for some applications,such as copyright protection,copy control,fingerprinting,content authentication and broadcast monitoring.It embeds digital,literal,image and other information into multimedia data,and plays the role of identification and secret communication.With the development of the research,digital watermarking has been applied in more fields.In everyday life,the screen is used to convey a wealth of visual information.At the same time,smartphones are also catching up with video.Cameras and screens are widely used,whether independent or embedded in laptops,smartphones or other devices.This popularity provides the conditions for wireless communication with these devices.With the rapid popularization of mobile devices,a series of new information acquisition methods have been spawned.The most representative is the two-dimensional code technology which has been widely used in the field of mobile payment.It implements a new type of communication method,that two-dimensional code is displayed on the screen and recognized by camera.Based on this new mode of communication,this paper introduces information hiding technology to build invisible two-dimensional code information,so that users can obtain information while reducing the information perception of adverse effects from the introduction of visible two-dimensional code to the carrier.This paper proposes a video watermarking algorithm based on frequency constraints,which aims at enhancing the robustness of video watermarking.The video is used as the carrier signal,and the secret information is embedded by the watermark embedding algorithm without damaging the video use value.The algorithm constrains the frequency of the video in the transform domain,and the constraint template is determined by the embedded information.The embedded algorithm can resist the noise introduced by the compression and analog-to-digital conversion process.The video data of the transmitter is captured by the video capture device,and the location of the transmitted screen is automatically detected by the algorithm after transmission.Against the embedded algorithm,the energy statistical model analysis method is designed to extract the embedded information.At the end of the algorithm,in order to validate the feasibility and robustness of the proposed algorithm,Matlab is used to do the simulation based on standard YUV video sequences.Experimental results demonstrate the robustness and high accuracy of this approach.