Detecting double MPEG compression with the same quantiser scale based on MBM feature
Jieyuan Chen, Xinghao Jiang, Tanfeng Sun, Peisong He, Shilin Wang
Abstract
Detecting double MPEG compression is of prime significance in video forensics. However, existing methods are effective only when the primary compression and the secondary compression have different quantiser scales (QS). There is a lack of effective methods dealing with double MPEG compression with the same QS. In this paper, a novel method based on the statistical feature of macroblock mode (MBM) which consists of macroblock type and motion vector in P-frames is proposed to detect double MPEG compression with the same QS. The MBM statistical feature is extracted during multiple decoding procedures when the video is repeatedly compressed with the same QS for several times. Finally, the proposed feature is combined with the support vector machine (SVM) to classify the single MPEG compression and double MPEG compression. Experiments have demonstrated the effectiveness of the proposed method and the robustness to a wide range of QSs and different encoders.
BibTeX
@inproceedings{icassp2016_detectingdoublem,
title = {Detecting double MPEG compression with the same quantiser scale based on MBM feature},
author = {Jieyuan Chen and Xinghao Jiang and Tanfeng Sun and Peisong He and Shilin Wang},
booktitle = {ICASSP 2016},
year = {2016}
}