针对HEVC 的视频流版权问题，提出了一种抗量化转码的零水印算法。首先，经过统计发现量化转码后编码单元(CU)深度具有很强的稳定性，部分深度会发生转移且主要往相邻深度转移；然后，为增加深度特征的顽健性，对CU 深度进行分组，并映射成二值信息；最后，将加密后的特征信息同混沌置乱后的版权信息异或，与时间戳作为最终注册的零水印。实验结果表明，该算法对量化参数在一定变化范围内的重量化转码攻击以及常见的信号攻击具有很强的鲁棒性。

For the video stream copyright issues of high efficiency video coding (HEVC), a new zero-watermarking algorithm with robustness to re-quantization transcoding is proposed. Firstly, from statistics analysis about re-quantization transcoding, it is found that Coding Unit (CU) depths have strong stability and only a fraction of the depths would shift and almost shift to adjacent depths. Then, in order to increase the robustness of the depth characteristic, the CU depths are divided into two groups and mapped into two values ‘0’ and ‘1’. Finally, ‘xor’ operation is performed between the binary information encrypted and the copyright information scrambled by using the chaotic algorithm, the outcome with the timestamp acts as the ultimate registered zero-watermarking. Experimental results show that the proposed algorithm has strong robustness to re-quantization transcoding and other common signal attacks.