Research Of Algorithm In Video Digital Watermarking Based On The Linear Support Vector Regression

As the development of the computer technology, digital videos are more and more widely used in people's life and the business applications. The development of mass storage technology and network technology to facilitate the spread of digital video, at the same time, also provides convenient to infringers. So protect the copyright of video products to become an important issue. Digital video watermarking can well protect the video's copyright and monitor the video using, with embedding the hidden watermark information to the digital video data. Simple, robust of digital watermarking method becomes more and more concerned.This paper proposes a video digital watermarking method base on the Linear Support Vector Regression Machine for current technology. Taking into account characteristic of the successive frames of video images has a strong correlation and SVR is simple. First, select the three of the first video image to train the model, as the image center pixel and its neighbor pixel relationship model. Secondly, the model is applied to three consecutive images, output center pixel value of the forecast, and then embeds and extracts the digital watermark. Thirdly, through a large number of experiments to discuss the parameters affect on the quality of the watermark and select the ideal model parameters. Finally, compare the conventional method based on support vector regression machine method of digital watermarking. In the parameter value, our method has better applicability. In the anti-noise, slightly better than the conventional method based on support vector regression machine in digital watermarking algorithm.