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A Comprehensive Survey on Deep Learning Techniques for Digital Video Forensics

Author

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  • T. Vigneshwaran

    (Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Bangalore Kengeri Campus, Karnataka 560074, India)

  • B. L. Velammal

    (Department of Computer Science and Engineering, College of Engineering Guindy, Anna University, Chennai 600025, India)

Abstract

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.

Suggested Citation

  • T. Vigneshwaran & B. L. Velammal, 2024. "A Comprehensive Survey on Deep Learning Techniques for Digital Video Forensics," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 23(03), pages 1-20, June.
    • Handle: RePEc:wsi:jikmxx:v:23:y:2024:i:03:n:s0219649224500345
    DOI: 10.1142/S0219649224500345
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