AMIA 2024

In this session, we will explore the cutting-edge applications of machine learning in film restoration, addressing not only color recovery and frame replacement but also the intricate processes of colorization, source/gauge matching, and nitrate decay recovery. Through a series of detailed case studies, I will demonstrate how AI tools are revolutionizing the field, making advanced restoration techniques more accessible. Drawing from a rich background in digital intermediates and a history of international collaboration, I will guide attendees through the ethical and practical considerations of integrating AI into film preservation workflows. The session is designed for those with an intermediate understanding of the field, but beginners will also find the discussions enlightening and informative. Participants will leave with a deeper appreciation of the capabilities of machine learning in film restoration. We will delve into how these tools can be leveraged to overcome traditional challenges, ensuring the longevity and integrity of our cinematic heritage.