Emergence of deepfakes and video tampering detection approaches: A survey

Digital content, particularly the digital videos recorded at specific angle, though, provides a truthful picture of reality but the widespread proliferation of easy-to-use content editing softwares doubt about its authenticity. Recently, Artificial Intelligence (AI) based content altering mechanism, known as deepfake, became popular on social media platforms, wherein any person can be able to purport the behaviour of another person in a video who is actually not there. Depending on the type of manipulation performed, different types of deepfakes are described in this paper. Moreover, rely on digital content for trustworthy evidence as well as to avoid spread of misinformation, integrity and authenticity of digital content has-been of utmost concerns. This paper aims to present a survey of the state-of-art video integrity verification techniques with special emphasis on emerging deepfake video detection approaches. Seeing the advancement in creation of more realistic deepfake videos, this review facilitates the development of more generalized methods with a thorough discussion on different research trends in the wake of deepfake detection.