A Comprehensive Survey on Deep Learning Techniques for Digital Video Forensics

Title

A Comprehensive Survey on Deep Learning Techniques for Digital Video Forensics

Creator

Vigneshwaran T.; Velammal B.L.

Description

With the help of advancements in connected technologies, social media and networking have made a wide open platform to share information via audio, video, text, etc. Due to the invention of smartphones, video contents are being manipulated day-by-day. Videos contain sensitive or personal information which are forged for one's own self pleasures or threatening for money. Video falsification identification plays a most prominent role in case of digital forensics. This paper aims to provide a comprehensive survey on various problems in video falsification, deep learning models utilised for detecting the forgery. This survey provides a deep understanding of various algorithms implemented by various authors and their advantages, limitations thereby providing an insight for future researchers. 2024 World Scientific Publishing Co.

Source

Journal of Information and Knowledge Management, Vol-23, No. 3

Date

2024-01-01

Publisher

World Scientific

Subject

artificial intelligence; classifier; convolutional neural networks; deep learning; digital forensics; feature selection; keyframe extraction; object tracking; social media networking; Video falsification

Coverage

Vigneshwaran T., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to Be University), Kengeri Campus, Karnataka, Bangalore, 560074, India; Velammal B.L., Department of Computer Science and Engineering, College of Engineering Guindy, Anna University, Chennai, 600025, India

Rights

Restricted Access

Relation

ISSN: 2196492

Format

Online

Language

English

Type

Article

Identifier

https://doi.org/10.1142/S0219649224500345

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85188783907&doi=10.1142%2fS0219649224500345&partnerID=40&md5=52b45b46f67ad9b8333852139932f596