A Survey On Video Forgery Detection

TL;DR

This survey reviews existing methods for detecting video forgeries, highlighting challenges and emphasizing the importance of passive techniques for establishing authenticity in digital videos.

Contribution

It provides a comprehensive overview of prior research and discusses the challenges in passive video forgery detection methods.

Findings

Passive approaches are preferred for video forgery detection.

Detecting tampering in videos is more complex than in images.

The survey identifies key challenges and future directions in the field.

Abstract

The Digital Forgeries though not visibly identifiable to human perception it may alter or meddle with underlying natural statistics of digital content. Tampering involves fiddling with video content in order to cause damage or make unauthorized alteration/modification. Tampering detection in video is cumbersome compared to image when considering the properties of the video. Tampering impacts need to be studied and the applied technique/method is used to establish the factual information for legal course in judiciary. In this paper we give an overview of the prior literature and challenges involved in video forgery detection where passive approach is found.