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基于视觉特征的视频水印技术

Video Watermarking Based on Visual Features

  • 摘要: 提出并实现了一种基于视觉特征的MPEG视频水印方案.通过提取视频帧DCT子块的纹理、亮度以及运动等特征,设计一个混合的自适应子块特征抽取模型,并依赖视觉敏感特性构造一个特征统计收敛模型,生成与人的视觉感知模型相一致的自适应视频水印.实验结果表明:该方案具有较高的视觉隐蔽性以及较强的稳定性和鲁棒性.

     

    Abstract: This paper presents a novel watermarking algorithm of MPEG video based on visual features. An effective mixed feature model of the block is delicately designed by texture,luminance and motion features of the video.According to the perceptual features derived from the masking behavior of the human perceptual model,a feature statistics model is introduced to adjust the extracted block feature,and then the copyright protection is embedded into the block according to the modified block feature.Experimental results show that the watermarked video is highly imperceptible and resistant to many degradations and distortions of video,especially the colored noise,coding and temporal processing.

     

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