Peter Tseng, Qingyuan Liu - FFMARK - An Open Framework for Forensic Watermarking

How hard can it be to hide some bits in a video? Long story short, we started a free and open-source project: The Open Framework for Forensic Watermarking. In the beginning, we tested and compared various video watermarking techniques - including frequency domain algorithms and a machine learning model - based on metrics like performance, imperceptibility, and robustness against attack. We also looked into commercial solutions, but they were not flexible enough for some of our use cases, such as the just-in-time insertion of per-user watermarks for content distribution. Given the dearth of existing open-source projects, we decided to start one ourselves. Initially, our main implementation is for the DTCWT (dual-tree complex wavelet transform) algorithm, but we hope to have implementations of many other methods that the user can choose from. We want to build a framework that is equally useful to researchers, developers, and content operators. Hopefully we're not oFFmark! This talk was presented at Demuxed '22, a conference for video nerds in San Francisco featuring amazing talks like this one. Demuxed '22 was made possible by sponsors like our Platinum sponsor Daily (https://daily.co) and organized by people from Mux (https://mux.com). For more information about the conference and community, see https://2022.demuxed.com.