ItoV: Efficiently Adapting Deep Learning-based Image Watermarking to Video Watermarking. (arXiv:2305.02781v1 [cs.CR])

Robust watermarking tries to conceal information within a cover image/video
imperceptibly that is resistant to various distortions. Recently, deep
learning-based approaches for image watermarking have made significant
advancements in robustness and invisibility. However, few studies focused on
video watermarking using deep neural networks due to the high complexity and
computational costs. Our paper aims to answer this research question: Can
well-designed deep learning-based image watermarking be efficiently adapted to
video watermarking? Our answer is positive. First, we revisit the workflow …

complexity conceal deep learning high information networks neural networks robustness studies video watermarking