Analysis of anomaly detection in surveillance video: recent trends and future vision
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 …
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
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 …
the common feature of video recording in smart phones and digital devices. However, with …
Machine learning in digital forensics: a systematic literature review
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 …
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
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 …
field, court evidence, journalism, and social media among others. However, nowadays the …
Forged Video Detection Using Deep Learning: A SLR
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 …
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
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 …
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 …
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 …
analysis, processing, and storage. Video forensic analysis involves scientific investigation …
Video surveillance in smart cities: current status, challenges & future directions
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 …
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 …
digital images in industrial and medical applications. Because of image manipulation …