Surveillance Video Inter-frame Forgery Detection: Review on Techniques

Abstract

Coronavirus pandemic have changed the way humans being do things nowadays. A new normal have involve as a result of lockdown and strict measures from government and stakeholder. Communication is one area that experience great change. Video are now accepted as reliable and easy means of communication (Meetings, Lectures classes, Surveillance and etc.). This great acceptance of video data led to increase in video tempering as videos are the most accepted evidence. To mitigate the effect of video tempering, researchers have proposed techniques to detect forgery. The active video forgery detection inserts features that can be used to forged video during video creation. As majority of videos do not have features, passive technique that detects forgery based on footprint left by forgers becomes inevitable. In this research work, review on inter-frame detection scheme is done to highlight their strength, weaknesses, general problems and challenges of the schemes are stated.