DST-based Video Watermarking Robust to Lossy Channel Compression
Jinhe Li, Hongxia Wang, Ling Yang, Dekai Liu · 2022 IEEE 24th International Workshop on Multimedia Signal Processing (MMSP) · 2022
It is increasingly common for people to share videos on social platforms such as TikTok, YouTube and bilibili. The shared videos, however, is usually affected by lossy channel compression, thus a robust video watermarking based on discrete sine transform (DST) is proposed. Firstly, We divide each video frame into blocks and perform DST in embedding region, then the high-frequency component of DST is selected for watermark embedding. For further strengthening the robustness of lossy channel compression, a signed odd-even interval quantization method is designed by improving the odd-even quantization method. As a consequence of uncomplicated feature of DST, the computational efficiency of this algorithm is efficient, making it ideal for application in real-time scenarios such as video live broadcast and video conference. Moreover, the watermark is extracted without the host video. Experimental results show that the proposed algorithm not only ensures excellent video quality, but also significantly improves the robustness of lossy channel compression, and the robustness to different video contents is stable.