Deep Convolutional Neural Network for Robust Detection of Object-Based Forgeries in Advanced Video

Deep Convolutional Neural Network for Robust Detection of Object-Based Forgeries in Advanced Video

Video forgery detection is a critical aspect of digital forensics, addressing the challenges posed by the manipulation of video content. This paper presents a novel approach for video forgery detection using Deep Convolutional Neural Networks (DCNN). Leveraging the power of deep learning, our method...

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Bibliographic Details
Main Authors: Ahmad A. Mazhar, Abid Jameel, Mohammad Nadeem, Mohammad Asmatullah Khan, Jawad Hasan Alkhateeb, Faiza Bibi, Ali Mohammad Seerat
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Video forgery detection
deep convolutional neural network (DCNN)
digital forensics
object-based forgery
deep learning
CNN
Online Access:https://ieeexplore.ieee.org/document/10411875/

Internet

https://ieeexplore.ieee.org/document/10411875/

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