A Methodological Survey on Fake Data Generation in Multimedia Forensics
Santanu Das, Sourav Dey Roy, Mrinal Kanti Bhowmik · 2022 IEEE Region 10 Symposium (TENSYMP) · 2022
Manipulation of real-world photos/ videos through various computer-aided softwares and android applications has received significant attention. Even though most of the people across the community use these softwares for their personal entertainment, it is malicious if the people use these softwares for hiding/ concealing certain contents in images/ videos from criminal activity (i.e., forgers). Therefore, there is a huge demand for developing computer-aided systems for identifying and locating these forged regions in the images/ videos. In the present scope of this paper, we provided an extensive survey on procedures and tools for fake/ forged dataset generation. It also presents a survey on various benchmark datasets used by the researchers for fake/ forgery detection. The presented survey can be a useful contribution for the research community to develop a new method/ model for forgery detection thereby overcoming the limitations of the state-of-the-art methods.