login
Home / Papers / DEEPFAKE DETECTION USING COMPUTER VISION

DEEPFAKE DETECTION USING COMPUTER VISION

88 Citations•2021•
A. Mishra, Aman Verma, Arunavo Dey
International Journal of Engineering Applied Sciences and Technology

An overview of parameters that can tell us about the authenticity of videos is presented, to develop a solution or methodology that can decide whether the face in the video was replace using DeepFake technology or not with some probability.

Abstract

These days, a problem of AI-generated face swapping videos are rising rapidly, also known as the DeepFakes. These kinds of videos create threats to privacy of a specific person, peace and security of a country. On occasion perfect DeepFake clips authenticity could be hard to confirm with bare eyes. So scholars need to develop few algorithms to check the authenticity of videos. Here, we present overview of parameters that can tell us about the authenticity of videos. Main motive of this research is to develop a solution or methodology that can decide whether the face in the video was replace using DeepFake technology or not with some probability.