Paper Title
A Dual Deep Network Approach for Efficient Video Copy-Move Forgery (VCMFD) Detection and Localization
Article Identifiers
Authors
Mohan D N
Keywords
VCMF detection, DDN, Frame detection, VTD dataset
Abstract
The research introduces the DDN methodology for effective detection of copy-move forgery (CMF) in digital videos. DDN employs DNet1 and DNet2 to extract both general and deep features, showcasing its prowess in identifying potential tampered areas. The framework incorporates advanced techniques such as an attention module, correlation estimation, and false detection reduction, ensuring accurate and optimized forgery detection. Evaluation on the challenging VTD dataset underscores DDN's superiority, outperforming existing models across accuracy, precision, recall, and F1-score metrics. The frame matching algorithm contributes to enhanced detection accuracy, while the loss computation network facilitates effective training through cross-entropy functions. Comparative analysis establishes DDN's advancements, displaying notable improvements over the best-performing existing model. In conclusion, DDN presents a holistic and efficient approach to video CMF detection (VCMFD), positioning itself as a state-of-the-art solution in digital video forensics. The methodology holds promise for addressing evolving challenges in forgery detection, contributing significantly to the field's advancement.
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How To Cite (APA)
Mohan D N (May-2024). A Dual Deep Network Approach for Efficient Video Copy-Move Forgery (VCMFD) Detection and Localization. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(5), a54-a70. https://ijnrd.org/papers/IJNRD2405006.pdf
Issue
Volume 9 Issue 5, May-2024
Pages : a54-a70
Other Publication Details
Paper Reg. ID: IJNRD_216537
Published Paper Id: IJNRD2405006
Downloads: 000121979
Research Area: Computer Science & TechnologyÂ
Country: Bangalore, Karnataka, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2405006.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2405006
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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition
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