Hiding information in videos using motion clues of feature points

Motivated by the weaknesses of human visual system in understanding the changes in dynamic scenes, a new video steganography method is proposed. There are two main ideas in this method: (1) detecting highly dynamic regions in video scenes and use them to hide the data, and (2) determining the right amount of data to be embedded in the selected regions. Motion clues of the feature points are used to study the dynamics of the scenes, and then, select the regions of interest accordingly. To determine the embedding capacity for each pixel, some statistical indicators extracted from behaviors of the feature points are used. The experimental results on a large database show that the proposed method achieves a substantial performance improvement over the existing methods; the average embedding capacity and the perceptual invisibility rate values are 0.52 bpp and 50.66 dB respectively.