  In this paper, we present a system to restore analog videos of historical
archives. These videos often contain severe visual degradation due to the
deterioration of their tape supports that require costly and slow manual
interventions to recover the original content. The proposed system uses a
multi-frame approach and is able to deal with severe tape mistracking, which
results in completely scrambled frames. Tests on real-world videos from a major
historical video archive show the effectiveness of our demo system. The code
and the pre-trained model are publicly available at
https://github.com/miccunifi/analog-video-restoration.
