Screen shooting video watermark resisting method based on fast Zernike moment and SuperPoint network

By combining fast Zernike moments and SuperPoint networks, the problem of video watermarking resistance and computational efficiency under screen capture attacks is solved, achieving efficient and stable watermark extraction and real-time processing, suitable for multi-device environments.

CN122027802APending Publication Date: 2026-05-12HANGZHOU DIANZI UNIV
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Patent Information

Application Number
CN202512028977.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-12-30
Publication Date
2026-05-12

AI Technical Summary

Technical Problem

Existing video watermarking technologies are weak against geometric attacks, struggle to balance imperceptibility and robustness, have poor cross-device compatibility, and are computationally inefficient, making them unsuitable for real-time application scenarios.

Method used

We employ a method based on fast Zernike moments and SuperPoint networks, combined with improved quantization index modulation (MQIM), to achieve adaptive embedding and extraction of watermarks through feature point selection, fast recursive Zernike moment calculation, and video preprocessing. This enhances the ability to resist screen capture and optimizes computational complexity.

Benefits of technology

When facing screen capture attacks, the watermark extraction rate remains stable at over 95%, with a low error rate and a computing speed of up to 35 FPS, meeting real-time processing requirements. The extraction rate fluctuation is less than 5% across different devices.

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Abstract

The invention discloses an anti-screen shooting video watermarking method based on a fast Zernike moment and a SuperPoint network, which mainly comprises two steps of watermark embedding and watermark extraction, and the core is that geometric invariance of the Zernike moment and high-precision feature positioning of the SuperPoint network are fused, and video watermarking processing for resisting screen capture attack is realized in combination with improved quantization index modulation (MQIM). In the aspect of anti-attack capability, the method is outstanding in performance when facing specific composite interference of screen shooting; after screen shooting attack including moire and geometric distortion, the average normalized correlation coefficient (NC) of watermark extraction is greater than 0.98, and the extraction success rate is stabilized at 95% or above; in the aspect of calculation efficiency, the watermark embedding and extracting speed is increased to 35 FPS, and the requirement for real-time processing is completely met.
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