Video forgery detection using HOG features and compression properties

• Main Authors: Subramanyam, A. V., Emmanuel, Sabu
• 其他作者: School of Computer Engineering
• 格式: Conference or Workshop Item
• 語言: English
• 出版: 2013
• 主題: DRNTU::Engineering::Computer science and engineering
• 在線閱讀: https://hdl.handle.net/10356/96284; http://hdl.handle.net/10220/12000
• 機構: 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...