Abstract
Nowadays, there is a huge concern of fabrication of real-world images/ videos using various computer-aided tools and software. Although these types of software are commonly used for personal entertainment but may create havoc when used by malicious people for concealing some sensitive contents from images for criminal forgery. Spread of fake information and illegal activities or creating morphed images of some individuals for taking revenge are some of the potentially destructive areas of advanced face information and structure manipulation technology in the wrong hands. Researcher fraternity in multimedia forensics have been working in this area since many years and in this paper, a comprehensive study of various techniques of fake image/video creation and detection are described. It also presents a survey on various benchmark datasets used by the researchers for fake image/video detection. The presented survey can be a useful contribution for the research community to develop a new method/ model for fake detection thereby overcoming the restrictions of the traditional methods.
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