Paper Info
Title
A comprehensive survey on digital video forensics: Taxonomy, challenges, and future directions
Abstract
With the explosive advancements in smartphone technology, video uploading/downloading has become a routine part of digital social networking. Video contents contain valuable information as more incidents are being recorded now than ever before. In this paper, we present a comprehensive survey on information extraction from video contents and forgery detection. In this context, we review various modern techniques such as computer vision and different machine learning (ML) algorithms including deep learning (DL) proposed for video forgery detection. Furthermore, we discuss the persistent general, resource, legal, and technical challenges, as well as challenges in using DL for the problem at hand, such as the theory behind DL, CV, limited datasets, real-time processing, and the challenges with the emergence of ML techniques used with the Internet of Things (IoT)-based heterogeneous devices. Moreover, this survey presents prominent video analysis products used for video forensics investigation and analysis. In summary, this survey provides a detailed and broader investigation about information extraction and forgery detection in video contents under one umbrella, which was not presented yet to the best of our knowledge.
Year
DOI
Venue
2021
10.1016/j.engappai.2021.104456
Engineering Applications of Artificial Intelligence
Keywords
DocType
Volume
Digital forensics,Anti-forensics,Machine learning (ML),Deep learning (DL),Computer vision (CV),Video forensics,Video forgery,Evidence extraction,Forgery detection,Legal aspects
Journal
106
ISSN
Citations 
PageRank 
0952-1976
0
0.34
References 
Authors
6
6
Name
Order
Citations
PageRank
Abdul Rehman Javed1286.89
Zunera Jalil2383.33
Wisha Zehra300.34
Thippa Reddy Gadekallu400.68
Doug Young Suh57719.96
Md Jalil Piran6328.71