2023 Volume E106.D Issue 10 Pages 1757-1760
We propose a quantitative measurement technique of video forgery that eliminates the decision burden of subtle boundary between normal and tampered patterns. We also propose the automatic adjustment scheme of spatial and temporal target zones, which maximizes the abnormality measurement of forged videos. Evaluation shows that the proposed scheme provides manifest detection capability against both inter-frame and intra-frame forgeries.