AVS video digital watermark method based on nonnegative matrix decomposition

Abstract

The invention discloses an AVS video digital watermark method based on nonnegative matrix decomposition, which mainly solves the problems of low transmittance and poor attacking repellence to frame deletion and frame recomposition. The invention generates watermark based on content by utilizing light characteristics of a video I frame and extracts kinetic characteristics of video signals by utilizing the nonnegative matrix decomposition during the watermark embedding, and can self-adaptively adjust the embedding strength and the embedding position of the watermark by combining texture and light characteristics of the video to embed the watermark into intermediate frequency DCT coefficients of prediction residual errors of an I frame light block. During the watermark verification, the I frame is only decoded, the video product is judged whether the watermark is embedded or not by comparison of the extracted watermark and the verification of the error rate of the watermark. The invention has high transmittance and robustness, can be used in the video product with AVS standard, and provides reliable copyright protection for the AVS video product.

Description

technical field [0001] The invention belongs to the technical field of video and multimedia signal processing, and in particular relates to a method for video digital watermarking, which can be used in AVS standard video products and provides copyright protection for AVS video products. Background technique [0002] Video digital watermarking technology is a hot and difficult point in the current research direction of watermarking technology. The hot spot is that the introduction of a large number of consumer digital audio and video products makes the market demand for digital product property rights protection technology with digital watermarking as an important part more urgent. The difficulty lies in that, due to the inherent characteristics of video, people are required to find new and special technologies to operate the video. For example, the huge data scale of video and the real-time requirements of video watermarking determine that many mature image watermarks cannot...

AI Technical Summary

Problems solved by technology

This method only uses the static masking characteristics of the human eye when constructing the human visual system model, and does not take into account the unique temporal masking effect of the video.

[0006] 3. Alper Koz, A. Aydin Alatan, Oblivious Spatio-Temporal Watermarking of Digital Video by Exploiting the Human Visual System. IEEE Trans. Circuits Syst. Video Techn. 2008, 18(3): 326-337 Eye vision time contrast limit, adaptive determination of watermark embedding strength, although this method takes into account the temporal masking effect of video, but the calculation is complex and the real-time performance is poor

[0007] 4. Hu Yang, Zhang Chuntian, Su Yuting, Video Information Hiding Algorithm Based on H.264 / AVC, Acta Electronics Sinica, 2008, 4(4): 690-694, this method modulates the frame of I frame 4×4 brightness block Intra-prediction mode realizes watermark embedding, and the embedding position is determined by the characteristics of each block combined with the key. This method has good transparency and security, but is poor in robustness and cannot resist video processing and attacks.

[0008] To sum up, the existing video digital watermarking has the following deficiencies: 1) The video watermarking method should be combined with specific coding standards, while most of the existing video watermarking methods are based on MPEG or H.26x series compression coding standards, currently applicable The video watermark method based on the AVS standard is almost blank

2) Poor robustness, unable to resist some video-specific attacks, such as frame deletion and frame reorganization; 3) Most of them only use the static masking characteristics of human eyes, and do not take into account the unique time masking effect of video

Images