Sequential and Patch Analyses for Object Removal Video Forgery Detection and Localization-Reference-Cited by-同舟云学术

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Sequential and Patch Analyses for Object Removal Video Forgery Detection and Localization

Published:2021-03 Issue:3 Volume:31 Page:917-930
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:

Aloraini Mohammed^ORCID,Sharifzadeh Mehdi^ORCID,Schonfeld Dan^ORCID

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Link

http://xplorestaging.ieee.org/ielx7/76/9370015/09089005.pdf?arnumber=9089005

Cited by 49 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. Semi-supervised image manipulation localization with residual enhancement;Expert Systems with Applications;2024-10

2. An Anti-Forensics Video Forgery Detection Method Based on Noise Transfer Matrix Analysis;Sensors;2024-08-18

3. Deep Video Forensics: Unveiling Spatial Forgery Detection with Modified ResNet50;2024 IEEE 13th International Conference on Communication Systems and Network Technologies (CSNT);2024-04-06

4. Real‐time object‐removal tampering localization in surveillance videos by employing YOLO‐V8;Journal of Forensic Sciences;2024-04-04

5. Continuity-attenuation captured network for frame deletion detection;Signal, Image and Video Processing;2024-02-15

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