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A MCEA based passive forensics scheme for detecting frame-based video tampering

  • Published:2012-11 Issue:2 Volume:9 Page:151-159
  • ISSN:1742-2876
  • Container-title:Digital Investigation
  • language:en
  • Short-container-title:Digital Investigation

Author:

Dong Qiong,Yang Gaobo,Zhu Ningbo

Publisher

Elsevier BV

Subject

Law,Medical Laboratory Technology,Computer Science Applications

Reference10 articles.

1. Exploiting compression effects for improved source camera identification using strongly compressed video;Chuang,2011

2. Quality evaluation of motion-compensated edge artifacts in compressed video;Leontaris;IEEE Transactions on Image Processing,2007

3. MPEG recompression detection based on block artifacts;Luo,2008

4. Blind detection of video sequence montage based on GOP abnormality;Qin;Chinese Journal of Electronic,2010

5. Vision of the unseen: current trends and challenges in digital image and video forensics;Rocha;ACM Computing Surveys,2011

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1. A Comprehensive Survey on Deep Learning Techniques for Digital Video Forensics;Journal of Information & Knowledge Management;2024-03-21

2. Multi-Level Passive Video Forgery Detection based on Temporal Information and Structural Similarity Index;2023 Seventh International Conference on Image Information Processing (ICIIP);2023-11-22

3. Video Forgery Detection for Surveillance Cameras: A Review;2023-09-25

4. Tamper Detection and Localization in Forensic Images;Proceedings of the 24th International Conference on Computer Systems and Technologies;2023-06-16

5. A comprehensive taxonomy on multimedia video forgery detection techniques: challenges and novel trends;Multimedia Tools and Applications;2023-05-24
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