Results 71 to 80 of about 416 (95)
A Survey on Semantic Communications in Internet of Vehicles. [PDF]
Ye S, Wu Q, Fan P, Fan Q.
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Deepfake video deception detection using visual attention-based method. [PDF]
Lal K, Shiwani S, Gandhi GC.
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Enhanced classification prostate cancer based on generative adversarial networks and integrated deep learning with vision transformer models. [PDF]
Salama WM, Aly MH.
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Enhanced smart commuting with artificial intelligence for intelligent health and safety monitoring in school buses. [PDF]
Hossam H +8 more
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A machine learning assistant for detecting fraudulent activities in synchronous online programming exams. [PDF]
Ortin F, Gago A, Quiroga J, Garcia M.
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IEEE Transactions on Circuits and Systems for Video Technology, 2021
With the development of video and image processing technology, the field of video tampering forensics is facing enormous challenges. Specifically, as the fundamental basis of judicial forensics, passive forensics for object removal video forgery is particularly essential.
Dongjin Yu, Ye Yao, Quanxin Yang
exaly +2 more sources
With the development of video and image processing technology, the field of video tampering forensics is facing enormous challenges. Specifically, as the fundamental basis of judicial forensics, passive forensics for object removal video forgery is particularly essential.
Dongjin Yu, Ye Yao, Quanxin Yang
exaly +2 more sources
Real‐time object‐removal tampering localization in surveillance videos by employing YOLO‐V8
Journal of Forensic SciencesAbstract Videos are considered as most trustworthy means of communication in the present digital era. The advancement in multimedia technology has made video content sharing and manipulation very easy. Hence, the video authenticity is a challenging task for the research community. Video forensics refer to uncovering the forgery traces.
Abhishek Kashyap
exaly +3 more sources
Object-Based Video Tampering Localization via Trace Consistency Analysis
ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)Yun Cao, Jinchuan Li, Yuqi Pang
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