Deep Convolutional Neural Network for Identifying Seam-Carving Forgery-Reference-Cited by-同舟云学术

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Deep Convolutional Neural Network for Identifying Seam-Carving Forgery

Published:2021-08 Issue:8 Volume:31 Page:3308-3326
ISSN:1051-8215
Container-title:IEEE Transactions on Circuits and Systems for Video Technology
language:
Short-container-title:IEEE Trans. Circuits Syst. Video Technol.

Author:

Nam Seung-Hun^ORCID,Ahn Wonhyuk^ORCID,Yu In-Jae^ORCID,Kwon Myung-Joon^ORCID,Son Minseok,Lee Heung-Kyu^ORCID

Funder

National Research Foundation of Korea

Institute of Information & Communications Technology Planning & Evaluation

Ministry of Science and ICT (MSIT), Korea Government

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Link

http://xplorestaging.ieee.org/ielx7/76/9505291/09257477.pdf?arnumber=9257477

Cited by 16 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Datasets, clues and state-of-the-arts for multimedia forensics: An extensive review;Expert Systems with Applications;2024-09

2. A convolutional neural network based on noise residual for seam carving detection;Journal of Visual Communication and Image Representation;2024-04

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4. Rectification for Stitched Images with Deformable Meshes and Residual Networks;Applied Sciences;2024-03-27

5. Multi-modality frequency-aware cross attention network for fake news detection;Journal of Intelligent & Fuzzy Systems;2024-01-10

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