基于汉明纠错机制的抗帧操作的视频水印

提出一种基于（7，4）汉明码纠错机制的抗视频帧操作的帧定位算法，可通过识别含水印帧来提取受到帧操作攻击的水印信息。首先利用改进的简单线性迭代聚类（simple lineariterative clustering，SLIC）超像素分割算法提取视频帧的固有特征X，这里X是一串7位的0-1序列，是由SLIC超像素分割算法通过预处理、量化等运算得到的聚类中心。将视频帧的固有特征X与汉明码结合形成一个特殊的编码S。以编码S为定位码，利用（7，4）汉明码的纠错机制修改1位可隐藏3位的性能来实现定位码的标识，再基于DCT-SVD（discrete cosinetransformation-singular value decomposition）分解将水印信息嵌入到含定位标识的视频中。实验结果表明，该算法不仅能抵抗帧删除、帧添加和重编码等攻击，也能抵抗常见的信号处理操作。

Video Watermarking Robust Against Frame Operations Based on Hamming Code Correction

A frame alignment algorithm is proposed using the (7,4) Hamming code correction to resist these attacking operations. In this algorithm, the watermark is extracted by identifying watermarked frames. The simple linear iterative clustering (SLIC) superpixels method is used to extract the frames' natural characteristics X, which is a 7-bit binary sequence representing the clustering centers obtained using SLIC via preprocessing and quantization. The approach takes advantage of (7,4) Hamming code correction that can hide three bits of the target code S by modifying only one bit. The watermark is then embedded into the video containing alignment marks with DCT-SVD decomposition. Experimental results show that the proposed approach can resist attacks such as frame dropping, frame insertion and recoding. It is also robust against common signal processing operations.