S. Velliangiri1,*, J. Premalatha2
CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.2, pp. 625-645, 2020, DOI:10.32604/cmes.2020.010869
Abstract Different devices in the recent era generated a vast amount of
digital video. Generally, it has been seen in recent years that people are
forging the video to use it as proof of evidence in the court of justice.
Many kinds of researches on forensic detection have been presented, and
it provides less accuracy. This paper proposed a novel forgery detection
technique in image frames of the videos using enhanced Convolutional Neural Network (CNN). In the initial stage, the input video is taken as of
the dataset and then converts the videos into image frames. Next, perform
pre-sampling using the… More >
Login
Register
