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A comprehensive survey on passive techniques for digital video forgery detection
Digital videos are one of the most widespread forms of multimedia in day to day life. These
are widely transferred over social networking websites such as Facebook, Instagram …
are widely transferred over social networking websites such as Facebook, Instagram …
[HTML][HTML] 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 …
Anticipating and addressing the ethical implications of deepfakes in the context of elections
New media synthesis technologies are rapidly advancing and becoming more accessible,
allowing users to make video and audio clips (ie deepfakes) of individuals doing and saying …
allowing users to make video and audio clips (ie deepfakes) of individuals doing and saying …
A comprehensive taxonomy on multimedia video forgery detection techniques: challenges and novel trends
Thousands of videos are posted on websites and social media every day, including Twitter,
Facebook, WhatsApp, Instagram, and YouTube. Newspapers, law enforcement publications …
Facebook, WhatsApp, Instagram, and YouTube. Newspapers, law enforcement publications …
Sequential and patch analyses for object removal video forgery detection and localization
In recent years, video surveillance has become essential for security applications used to
monitor many organizations and locations, and it is therefore important to ensure the …
monitor many organizations and locations, and it is therefore important to ensure the …
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 …
CMCF-net: An end-to-end context multiscale cross-fusion network for robust copy-move forgery detection
Image copy-move forgery detection (CMFD) has become a challenging problem due to
increasingly powerful editing software that makes forged images increasingly realistic …
increasingly powerful editing software that makes forged images increasingly realistic …
Video splicing detection and localization based on multi-level deep feature fusion and reinforcement learning
Splicing forgery refers to copying some regions of a video or an image to another
video/image. Although image splicing detection has been studied for many years, video …
video/image. Although image splicing detection has been studied for many years, video …
Video tampering localisation using features learned from authentic content
Video tampering detection remains an open problem in the field of digital media forensics.
As video manipulation techniques advance, it becomes easier for tamperers to create …
As video manipulation techniques advance, it becomes easier for tamperers to create …
DEEP-STA: Deep Learning-Based Detection and Localization of Various Types of Inter-Frame Video Tampering Using Spatiotemporal Analysis
Inter-frame tampering in surveillance videos undermines the integrity of video evidence,
potentially influencing law enforcement investigations and court decisions. This type of …
potentially influencing law enforcement investigations and court decisions. This type of …