Stepwise inter-frame correlation-based steganalysis system for video streams

stage-wise steganalysis system that utilizes the collusion scheme among sucessive video frames is proposed. The effect of local motion interfering detection precision is studied. The local motion and message embedded in video frame is treated as a bimodal noise. To detect the existence of the embedded message, blockwise correlation-based feature extraction scheme is proposed to reduce the local motion interfering effect. The video steganalysis process is divided into two stages. In the first stage, suspicious video frames will be recognized by decision module employing features extracted with a light-weight collusion scheme, for the real-time requirement. In the second stage, suspicious frames will be analyzed critically by the present powerful image steganalysis algorithms. Moreover, the determined principle is also studied to reduce the false positive rate in the first stage. Experimental results show the satisfying performance of the proposed system. Copyright © 2008 John Wiley & Sons, Ltd.