Vatansever, SaffetDirik, Ahmet EmirMemon, Nasir D.2026-02-122026-02-12201914244072819781467300469078036293497814577053979781728163277978142442354597983503687410780305329978078030946397815090663150736-77911520-6149https://doi.org/10.1109/ICASSP.2019.8682419https://hdl.handle.net/20.500.12885/654944th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 -- 2019-05-12 through 2019-05-17 -- Brighton -- 149034ENF (Electric Network Frequency) oscillates around a nominal value (50/60 Hz) due to imbalance between consumed and generated power. The intensity of a light source powered by mains electricity varies depending on the ENF fluctuations. These fluctuations can be extracted from videos recorded in the presence of mains-powered source illumination. This work investigates how the quality of the ENF signal estimated from video is affected by different light source illumination, compression ratios, and by social media encoding. Also explored is the effect of the length of the ENF ground-truth database on time of recording detection and verification. © 2019 IEEE.enelectric network frequencyENFtime-of-recordingvideo forensicsConference Object10.1109/ICASSP.2019.86824192019-May249725012-s2.0-85068969559Q1