How AI-Driven Digital Watermarks Achieve Robust, Invisible Protection for Video
This article examines the challenges of video copyright protection, critiques traditional visible and invisible watermark methods, and presents a deep‑learning based AI digital watermark solution that balances invisibility and robustness, detailing its network architecture, degradation layer, loss functions, block encoding, anchor calibration, and large‑scale experimental results.
