Yadana Htun’s research while affiliated with University of Technology Yatanarpon Cyber City and other places

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Publications (2)

Video Inter-frame Forgery Identification by a Statistical Method
  • Conference Paper

November 2023

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7 Reads

Soe Paing

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Yadana Htun

Citations (1)

... Speeded-up robust features (SURFs), HOG, mode-based fast digit features (MBFDFs), prediction residual gradient (PRG), and optical flow gradient (OFG) are used to train the forgery detection CNN model. Paing et al. [57] introduced a frame deletion system using an unsupervised learning algorithm. The hamming distance and Poisson probability mass function (PMF) distance are used to assess cross-correlations based on the Sobel edge operator. ...

Reference:

An Anti-Forensics Video Forgery Detection Method Based on Noise Transfer Matrix Analysis
An Unsupervised Learning Algorithm based deletion of Inter-frame Forgery Detection System
  • Citing Conference Paper

  • November 2023

Soe Paing

·

Yadana Htun