Authors :
Dr.Hafiz Gulfam Ahmad Umar; Muhammad Aoun; Muhammad Haris Sarfra; Muhammad Farhan Ali; Muhammad Younis
Volume/Issue :
Volume 8 - 2023, Issue 3 - March
Google Scholar :
https://bit.ly/3TmGbDi
Scribd :
https://bit.ly/3JLfRi1
DOI :
https://doi.org/10.5281/zenodo.7767424
Abstract :
With the rapid growth of smartphone
technology, it is now commonplace to upload &
download videos as part of digital social networking.
More incidents are being recorded on video than ever
before, so the information on them is more valuable than
ever. In this paper, we give a full review of how to get
information from video content & find fakes. In this
context, we look at different modern methods for
detecting video fakes, computer vision & (ML) methods
like (DL). We also discuss recurring resource, legal,
alsotechnical issues, as well as the challenging of
applying Deep learning for the task, such as the theory
underpinning DL, CV, restricted, datasets, real-time
processing, ML, employed with IoT-based devices. This
survey also lists common video forensics analysis &
investigation products. In this survey weexamine video
content information extraction & counterfeit detection in
detail, which, as far as we know, has not been done
before.
Keywords :
Digital Forensic, Anti Forensic, ML, DL, CV, Video forensic, video forgery.
With the rapid growth of smartphone
technology, it is now commonplace to upload &
download videos as part of digital social networking.
More incidents are being recorded on video than ever
before, so the information on them is more valuable than
ever. In this paper, we give a full review of how to get
information from video content & find fakes. In this
context, we look at different modern methods for
detecting video fakes, computer vision & (ML) methods
like (DL). We also discuss recurring resource, legal,
alsotechnical issues, as well as the challenging of
applying Deep learning for the task, such as the theory
underpinning DL, CV, restricted, datasets, real-time
processing, ML, employed with IoT-based devices. This
survey also lists common video forensics analysis &
investigation products. In this survey weexamine video
content information extraction & counterfeit detection in
detail, which, as far as we know, has not been done
before.
Keywords :
Digital Forensic, Anti Forensic, ML, DL, CV, Video forensic, video forgery.