Journal of Jilin University (Information Science Edition) ›› 2022, Vol. 40 ›› Issue (1): 30-35.

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Research on Digital Video Tampering Forensics Method Based on Artificial Immune

XU Zidong, ZHANG Zhong   

  1. Institute of Evidence Law and Forensic Science, China University of Political Science and Law, Beijing 100088, China
  • Received:2021-04-28 Online:2022-01-25 Published:2022-01-27

Abstract: The current method for digital video tampering, no denoising, results in forensic error, high missing value and serious video distortion. Based on artificial immunity digital video tampering method, preliminary filter through the median filter, and similar blocks, a third order tensor is established according to the matching results, according to the nature of the tensor and noise to eliminate the Lagrange multiplier noise. Artificial immunity algorithm is used to build the autodynamic evolution model and the antigen dynamic evolution model,based on the digital video tampering forensics model to realize the forensics of digital video tampering in the denoised digital video input model. The experimental results show that the proposed method has small forensic error, low video missing value and small video deformation coefficient.


Key words: artificial immune algorithm, digital video, video denoising, video tampering forensics, median filter

CLC Number: 

  • TP391. 41