Robust video zero-watermarking method based on polar complex exponential transformation and residual neural network

Abstract

The invention discloses a robust video zero-watermarking method based on polar complex exponential transformation and a residual neural network, and the method comprises the steps: carrying out the preprocessing of a video, and selecting a key frame of each group of shots; encrypting the original watermark of the video; obtaining an invariant moment of the key frame by means of polar complex exponential transformation; sending the invariant moment into a pre-trained deep residual neural network model; extracting robust content characteristics of the key frame; carrying out exclusive-OR operation on the robust content characteristics and the encrypted watermarks; generating a unique robust zero-watermark signal of the video, selecting a key frame from the to-be-verified video, extracting robust content characteristics of the key frame, and performing exclusive-OR operation on the robust content characteristics and the robust zero-watermark signal corresponding to the to-be-verified video to obtain an original watermark, thereby realizing copyright verification of the video. According to the robust video zero-watermark method, the balance problem between robustness and imperceptibility is solved, the desynchronization attack resistance is improved, and the copyright of video media can be effectively protected.

Description

technical field [0001] The invention belongs to the technical field of multimedia content protection and anti-counterfeiting, and relates to a robust video zero-watermark method based on extremely complex exponential transformation and residual neural network. Background technique [0002] With the rapid popularization of mobile Internet technology and the rise of various short video applications, the amount of online video data has increased dramatically, and the security of video data has attracted more attention. Especially in recent years, all kinds of pirated videos have flooded the Internet, and the copyright protection of video media is an urgent problem to be solved. [0003] Digital watermarking is an effective copyright protection method. The traditional watermarking method realizes watermark embedding by modifying the original video data, but this will inevitably lead to the reduction of the visual quality of the original video. In addition, the balance between ...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a robust video zero-watermarking method based on extremely complex exponential transformation and residual neural networ

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