Video Watermarking Method Based on 3D U-Net Robust Against Re-Shooting

In recent years, digital signage has become popular as a means of information dissemination to the general public. However, unlike advertisements displayed on PCs or smartphones, it is impossible to directly acquire information displayed on such signages even if the content is interesting. Mizushima et al. proposed a video watermarking method that is robust against re-shooting so that the watermark can be extracted from watermarked videos displayed on digital signage. Conventional methods have the problem of limited information capacity. In recent years, watermarking methods based on deep learning have attracted attention for embedding large watermarks. In this paper, we implemented a video electronic watermark based on 3D U-Net, which makes it possible to embed larger watermarks than existing methods. In addition, the proposed method was able to extract the watermark from the re-shot video, and the shortest average processing time is 1.85 seconds to extract the correct watermark.