Analysis of anomaly detection in surveillance video: recent trends and future vision

R Raja, PC Sharma, MR Mahmood… - Multimedia Tools and …, 2023 - Springer
Video Surveillance (VS) systems are popular. For enhancing the safety of public lives as
well as assets, it is utilized in public places like marketplaces, hospitals, streets, education …

Digital video tampering detection and localization: Review, representations, challenges and algorithm

N Akhtar, M Saddique, K Asghar, UI Bajwa, M Hussain… - Mathematics, 2022 - mdpi.com
Digital videos are now low-cost, easy to capture and easy to share on social media due to
the common feature of video recording in smart phones and digital devices. However, with …

Machine learning in digital forensics: a systematic literature review

T Nayerifard, H Amintoosi, AG Bafghi… - arxiv preprint arxiv …, 2023 - arxiv.org
Development and exploitation of technology have led to the further expansion and
complexity of digital crimes. On the other hand, the growing volume of data and …

A comprehensive survey on state-of-the-art video forgery detection techniques

S Mohiuddin, S Malakar, M Kumar, R Sarkar - Multimedia Tools and …, 2023 - Springer
Video plays a key role in carrying authenticity, especially in the surveillance system, medical
field, court evidence, journalism, and social media among others. However, nowadays the …

Forged Video Detection Using Deep Learning: A SLR

M Munawar, I Noreen, RS Alharthi… - … Intelligence and Soft …, 2023 - Wiley Online Library
In today's digital landscape, video and image data have emerged as pivotal and widely
adopted means of communication. They serve not only as a ubiquitous mode of conveying …

Deep feature based forgery detection in video using parallel convolutional neural network: VFID-Net

V Kumar, M Gaur, V Kansal - Multimedia Tools and Applications, 2022 - Springer
It has become easy to alter and tamper the video content flawlessly by using easily available
editing software in today's era. Thus, the authenticity of media resources is at high risk …

[HTML][HTML] An anti-forensics video forgery detection method based on noise transfer matrix analysis

Q Bao, Y Wang, H Hua, K Dong, F Lee - Sensors, 2024 - mdpi.com
The dispute over the authenticity of video has become a hot topic in judicial practice in
recent years. Despite detection methods being updated rapidly, methods for determining …

Deep learning-based forgery identification and localization in videos

R Gowda, D Pawar - Signal, Image and Video Processing, 2023 - Springer
The video forensics capabilities are constantly improving in terms of evidence accumulating,
analysis, processing, and storage. Video forensic analysis involves scientific investigation …

Video surveillance in smart cities: current status, challenges & future directions

H Sharma, N Kanwal - Multimedia Tools and Applications, 2024 - Springer
People across the world aspire to settle in urban areas for better opportunities in career,
education, and healthcare facilities. The increased proportion of people living in urban areas …

Development of precise forgery detection algorithms in digital radiography images using convolution neural network

MS El_Tokhy - Applied Soft Computing, 2023 - Elsevier
The widespread availability of forged image software necessitates the integrity verification of
digital images in industrial and medical applications. Because of image manipulation …