Inter-frame video forgery detection and localization using intrinsic effects of double compression on quantization errors of video coding

作者：

Highlights：

• A new algorithm for inter-frame video forgery detection and localization is proposed.

• The traces of quantization error on residual errors of P frames are studied.

• The algorithm can detect inter-frame forgeries in videos with different GOP lengths.

• We detect quantization-error-rich areas in P frames to reduce the effect of motion.

摘要

•A new algorithm for inter-frame video forgery detection and localization is proposed.•The traces of quantization error on residual errors of P frames are studied.•The algorithm can detect inter-frame forgeries in videos with different GOP lengths.•We detect quantization-error-rich areas in P frames to reduce the effect of motion.

论文关键词：Double compression,Frame deletion or insertion,Passive forensics,Quantization error,Residual error,Video forensics

论文评审过程：Received 21 September 2015, Revised 3 June 2016, Accepted 5 July 2016, Available online 9 July 2016, Version of Record 27 July 2016.

论文官网地址：https://doi.org/10.1016/j.image.2016.07.001