Detecting Double MPEG Compression with the Same Quantiser Scale Based on MBM Feature

Peisong He1, Peisong He1, Shilin Wang1, Tanfeng Sun1, Xinghao Jiang1

  • 1Shanghai Jiao Tong University

Details

13:30 - 15:30 | Tue 22 Mar | Poster Area G | IFS-P1.4

Session: Multimedia Forensics

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.