Compressed Deepfake Video Detection Based on 3D Spatiotemporal Trajectories

arXiv:2404.18149v1 Announce Type: new
Abstract: The misuse of deepfake technology by malicious actors poses a potential threat to nations, societies, and individuals. However, existing methods for detecting deepfakes primarily focus on uncompressed videos, such as noise characteristics, local textures, or frequency statistics. When applied to compressed videos, these methods experience a decrease in detection performance and are less suitable for real-world scenarios. In this paper, we propose a deepfake video detection method based on 3D spatiotemporal trajectories. Specifically, we utilize …

abstract actors arxiv cs.ai cs.cv cs.mm deepfake deepfakes deepfake video detecting deepfakes detection experience focus however misuse noise statistics technology threat type video videos