Détection a contrario de la double compression vidéo et application préliminaire à la détection de deepfakes

Video double compression detection can provide important clues to recover the video editing and sharing history. Indeed, to manipulate a video, one must first decompress it, then perform the desired editions and finally re-encode it. In this article, we propose a method to detect video double compression in H.264 codec. The proposed method detects the temporal periodicity of frame residuals caused by the fixed GoP in the first compression and validates the detections using a contrario framework to control the number of false alarms. The experiments show the superiority of our method over the state of the art without any threshold setting and its preliminary application to deepfake detection. Code is available at https://github.com/li-yanhao/gop_detection.