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Detection and localization of inter-frame forgeries in videos based on macroblock variation and motion vector analysis

  • Published:2021-01 Issue: Volume:89 Page:106929
  • ISSN:0045-7906
  • Container-title:Computers & Electrical Engineering
  • language:en
  • Short-container-title:Computers & Electrical Engineering

Author:

Bakas Jamimamul,Naskar Ruchira,Bakshi Sambit

Funder

National Institute of Technology Rourkela

Nvidia

Board of Research in Nuclear Sciences

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,General Computer Science,Control and Systems Engineering

Reference30 articles.

1. Basic image compression algorithm and introduction to JPEG standard;Lin,2009

2. Draft ITU-T recommendation and final draft international standard of joint video specificaton;Team;ITU-T Rec. H. 264,2003

3. H. 264 and MPEG-4 video compression: video coding for next-generation multimedia;Richardson,2004

4. Digital video tampering detection: An overview of passive techniques;Sitara;Digit Invest,2016

5. Automatic detection of object-based forgery in advanced video;Chen;IEEE Trans Circuits Syst Video Technol,2016

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1. A Comprehensive Analysis on Inter-Frame and Intra-Frame Video Forgery Detection Techniques;Proceedings of the 6th International Conference on Communications and Cyber Physical Engineering;2024

2. An Improved Vibe Algorithm Based on Adaptive Thresholding and the Deep Learning-Driven Frame Difference Method;Electronics;2023-08-17

3. Video motion forgery detection using motion residual and object tracking;Multimedia Tools and Applications;2023-07-12

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

5. Method for Frame Removal Detection in Static Camera Surveillance Video;2023 IX International Conference on Information Technology and Nanotechnology (ITNT);2023-04-17
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