[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 …
Survey on image copy-move forgery detection
M Verma, D Singh - Multimedia Tools and Applications, 2024 - Springer
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 …
used for digital communications, and are also regarded as a significant source of information …
Voice-face homogeneity tells deepfake
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 …
approaches contribute to exploring the specific artifacts in deepfake videos and fit well on …
Detection and localization of frame duplication using binary image template
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 …
However, videos can be altered easily using current technologies. Alterations can be made …
Multiple forgery detection in digital video based on inconsistency in video quality assessment attributes
HD Panchal, HB Shah - Multimedia Systems, 2023 - Springer
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 …
and correctness of videos are under threat. Videos captured by a CCTV or any surveillance …
A novel rate control algorithm for low latency video coding base on mobile edge cloud computing
J Zhu, H Chen, P Pan - Computer Communications, 2022 - Elsevier
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 …
structure, low rate control accuracy, long control time, etc., which cannot meet the …
Multiple forgery detection in digital video with VGG-16-based deep neural network and KPCA
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 …
software or mobile applications offer simple tools to perform the forgery in the video. So …
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 …
Deepfake creation and detection using ensemble deep learning models
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 …
posing a serious problem in distinguishing the real from the counterfeit. These counterfeit …
Spatiotemporal detection and localization of object removal video forgery with multiple feature extraction and optimized residual network
L Kumari CH, KV Prasad - International Journal of Pattern …, 2023 - World Scientific
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 …
advanced editing software that provides strengthen to tools for manipulating the videos …