Video forgery detection using HOG features and compression properties

• Main Authors: Subramanyam, A. V., Emmanuel, Sabu
• Other Authors: School of Computer Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2013
• Subjects: DRNTU::Engineering::Computer science and engineering
• Online Access: https://hdl.handle.net/10356/96284; http://hdl.handle.net/10220/12000
• Institution: Nanyang Technological University

In this paper, we propose a novel video forgery detection technique to detect the spatial and temporal copy paste tampering. It is a challenge to detect the spatial and temporal copy-paste tampering in videos as the forged patch may drastically vary in terms of size, compression rate and compression...