Uniform Embedding for Efficient Steganography of H.264 Video
Baolin Zhu, Jiangqun Ni · 2018
In this paper, the uniform embedding for JPEG steganography is generalized to the motion vector (MV) domain of H.264 video (UED_H.264). By taking into account the several key issues in video steganography, e.g., the MV correlations, the local optimality and the degradation of the reconstructed video frames, the comprehensive distortion function is proposed to incorporate the minimal distortion embedding framework. The proposed scheme uses MVs as cover elements, which includes both forward and backward MVs, and the embedding is deliberately carried out with ternary syndrome-trellis codes (STC) according to the proposed scheme. Experimental results show that the proposed scheme can improve the security performance on resisting the steganalytic attacks while preserving the coding efficiency within acceptable level.