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 …

In this digital era, a huge amount of images are flooding the internet, which is extensively
used for digital communications, and are also regarded as a significant source of information …

Detecting forgery videos is highly desirable due to the abuse of deepfake. Existing detection
approaches contribute to exploring the specific artifacts in deepfake videos and fit well on …

Videos are one of the most substantial evidence that can be used to detect incidents.
However, videos can be altered easily using current technologies. Alterations can be made …

With the enormous development of video capture, sharing, and editing tools, the authenticity
and correctness of videos are under threat. Videos captured by a CCTV or any surveillance …

The current low-latency video coding rate control algorithm has similar video sequence
structure, low rate control accuracy, long control time, etc., which cannot meet the …

The amount of video data is growing exponentially on a daily basis. Easily available
software or mobile applications offer simple tools to perform the forgery in the video. So …

Inter-frame tampering in surveillance videos undermines the integrity of video evidence,
potentially influencing law enforcement investigations and court decisions. This type of …

The use of Artificial Intelligence to create falsified videos using Deep Neural Networks is
posing a serious problem in distinguishing the real from the counterfeit. These counterfeit …

Video forgery detection and localization is one of the most important issue due to the
advanced editing software that provides strengthen to tools for manipulating the videos …