Journal
MULTIMEDIA TOOLS AND APPLICATIONS
Volume 80, Issue 4, Pages 6247-6310Publisher
SPRINGER
DOI: 10.1007/s11042-020-09974-4
Keywords
Video forgery detection; Inter-frame forgery; Intra-frame forgery; Passive techniques; Video anti-forensics; Deepfake detection
Ask authors/readers for more resources
Digital videos are widely spread through social networking websites, and the availability of editing tools has made it easier to modify video content. Video forgery detection aims to identify manipulations in videos and verify their authenticity, with techniques categorized as active and passive.
Digital videos are one of the most widespread forms of multimedia in day to day life. These are widely transferred over social networking websites such as Facebook, Instagram, WhatsApp, YouTube, etc. through the Internet. Availability of modern and easy to use editing tools have facilitated the modification of the contents of the digital videos. Therefore, it has become an essential concern for the legitimacy, trustworthiness, and authenticity of these digital videos. Digital video forgery detection aims to identify the manipulations in the video and to check its authenticity. These techniques can be divided into active and passive techniques. In this paper, a comprehensive survey on video forgery detection using passive techniques have been presented. The primary goal of this survey is to study and analyze the existing passive video forgery detection techniques. Firstly, the preliminary information required for understanding video forgery detection is presented. Later, a brief survey of existing passive video forgery detection techniques based on the features, forgery identified, datasets used, and performance parameters detail along with their limitations are reviewed. Then, anti-forensics strategy and deepfake detection in the video are discussed. After that, standard benchmark video forgery datasets and the generalized architecture for passive video forgery detection techniques are discussed. Finally, few open challenges in the field of passive video forgery detection are also described.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available