A COMPREHENSIVE REVIEW OF VIDEO FORGERY DETECTION TECHNIQUES
Wincy Abraham, Sunil Kumar D S · 2023
In this digital era, the rapid increase in the number of video content caused a rise in video forgeries, raising significant concerns regarding their potential impact on society, politics, and justice. This comprehensive review paper delves into the multifaceted landscape of video forgery detection, addressing its critical importance in contemporary media forensics. We categorize video forgeries into various types, including inter-frame and intra-frame, object removal forgery etc, and illustrate their prevalence and motivations. An extensive analysis of detection methods is presented, encompassing traditional techniques, as well as cutting-edge approaches involving machine learning and deep learning. We assess the strengths and limitations of these methods, discussing recent advancements and their implications. Anticipating future developments, we outline emerging trends and the need for more comprehensive datasets. As video forgery detection continues to evolve, its implications for society and the legal landscape underscore the necessity of continued research and development in this crucial field.