【摘要】 通过分析运动矢量的数据统计特性,提出一种基于统计的抗同步攻击视频水印算法。该算法水印信息表示空间与数据特性紧密联系,具有物理空间、时间不可划分性,克服了传统水印算法的检测器对水印同步的依赖性。实验表明,该算法具有很好的鲁棒性和不可感知性,能够抵抗帧删除等同步攻击以及基于视频内容的攻击;在帧删除率小于18%时,水印正确率大于80%。更多还原

【Abstract】 A novel video watermarking algorithm is proposed based on data statistical classification of motion vectors.In this algorithm,watermark information relates closely with data characteristic,it doesn’t have the physical partitionablity.Therefore,the algorithm avoids the sensitivity to watermark synchronization compared with traditional algorithms.The experimental results demonstrate the algorithm has great robustness and unperceptiveness and can efficiently against temporal synchronization attacks and content-based attacks.When lost frame ratio is lower than 18%,watermark accuracy is higher than 80%.更多还原