Video steganography forms a covert communication channel by data embedding in cover elements. To consider inter-frame mutual embedding impacts, this paper proposes a payload allocation strategy in video steganography based on motion vector modification distortion analysis. Firstly, the motion vector modification distortion caused by data embedding is analyzed. Then, a rate–distortion model reflecting the residue deviation propagation in successive inter-coded frames is derived. According to this model, the residue deviation propagation weight of each inter-coded frame can be computed. Finally, an inter-frame payload allocation strategy is designed in order to restrain the residue deviation propagation. Experimental results demonstrate that the proposed payload allocation strategy can enhance existing motion vector-based video steganographic methods in terms of undetectability and video coding performance. Besides, the lower computational complexity can be achieved.

视频隐写术通过将数据嵌入封面元素来形成秘密通信渠道。为了考虑帧间相互嵌入的影响，提出了一种基于运动矢量修正失真分析的视频隐写技术有效载荷分配策略。首先，分析了数据嵌入引起的运动矢量修正失真。然后，得出一个速率失真模型，该模型反映了残差偏差在连续帧间编码帧中的传播。根据该模型，可以计算每个帧间编码帧的残差偏差传播权重。最后，设计了一种帧间有效载荷分配策略，以抑制残差偏差的传播。实验结果表明，所提出的有效载荷分配策略在不可检测性和视频编码性能方面可以增强现有的基于运动矢量的视频隐写方法。此外，可以实现较低的计算复杂度。