並列摘要
This study designs a neural network model by deep learning, which integrated the knowledge in FaceForensics++ and their experimental results. Given a video containing people, this model is capable of determining whether the people in the video have been deepfaked. In the proposed model, we used FaceForensics++ as the design basis and extended the functionalities to enhance the ability of recognizing Asian faces from the deepfake videos. We also trained the model on high, middle and low-quality images to ensure that it is able to recognize images and videos with different qualities.