To address the challenges of video copyright protection and ensure the perfect recovery of original video,we propose a dual-domain watermarking scheme for digital video,inspired by Robust Reversible Watermarking(RRW)t...To address the challenges of video copyright protection and ensure the perfect recovery of original video,we propose a dual-domain watermarking scheme for digital video,inspired by Robust Reversible Watermarking(RRW)technology used in digital images.Our approach introduces a parameter optimization strategy that incre-mentally adjusts scheme parameters through attack simulation fitting,allowing for adaptive tuning of experimental parameters.In this scheme,the low-frequency Polar Harmonic Transform(PHT)moment is utilized as the embedding domain for robust watermarking,enhancing stability against simulation attacks while implementing the parameter optimization strategy.Through extensive attack simulations across various digital videos,we identify the optimal low-frequency PHT moment using adaptive normalization.Subsequently,the embedding parameters for robust watermarking are adaptively adjusted to maximize robustness.To address computational efficiency and practical requirements,the unnormalized high-frequency PHT moment is selected as the embedding domain for reversible watermarking.We optimize the traditional single-stage extended transform dithering modulation(STDM)to facilitate multi-stage embedding in the dual-domain watermarking process.In practice,the video embedded with a robust watermark serves as the candidate video.This candidate video undergoes simulation according to the parameter optimization strategy to balance robustness and embedding capacity,with adaptive determination of embedding strength.The reversible watermarking is formed by combining errors and other information,utilizing recursive coding technology to ensure reversibility without attacks.Comprehensive analyses of multiple performance indicators demonstrate that our scheme exhibits strong robustness against Common Signal Processing(CSP)and Geometric Deformation(GD)attacks,outperforming other advanced video watermarking algorithms under similar conditions of invisibility,reversibility,and embedding capacity.This underscores the effectiveness and feasibility of our attack simulation fitting strategy.展开更多
无线多媒体传感器网络中的多媒体传感器节点的功率、计算和存储能力及带宽资源受限,迫切需要低复杂度的视频处理技术对大数据量的视频进行压缩传输。基于来自网络中监控同一目标场景的多种类型传感器的信息,给出了一个新的无线多媒体传...无线多媒体传感器网络中的多媒体传感器节点的功率、计算和存储能力及带宽资源受限,迫切需要低复杂度的视频处理技术对大数据量的视频进行压缩传输。基于来自网络中监控同一目标场景的多种类型传感器的信息,给出了一个新的无线多媒体传感器网络分布式视频处理系统框架;提出了一种基于多类型传感数据融合和多视角的GOP(group of picture)划分方法;在解码端,考虑单一视角视频序列之间较强的时间相关性,产生时间相关的边信息;利用来自多个视频传感节点的视频序列间的空间多视角相关性,产生多视角相关的边信息,并提供两种边信息的融合和选择机制,提高边信息的准确度和可靠性。最后仿真实验结果表明该方法的有效性和优越性。展开更多
基金supported in part by the National Natural Science Foundation of China under Grant 62202496,62272478the Basic Frontier Innovation Project of Engineering University of People Armed Police under Grant WJY202314,WJY202221.
文摘To address the challenges of video copyright protection and ensure the perfect recovery of original video,we propose a dual-domain watermarking scheme for digital video,inspired by Robust Reversible Watermarking(RRW)technology used in digital images.Our approach introduces a parameter optimization strategy that incre-mentally adjusts scheme parameters through attack simulation fitting,allowing for adaptive tuning of experimental parameters.In this scheme,the low-frequency Polar Harmonic Transform(PHT)moment is utilized as the embedding domain for robust watermarking,enhancing stability against simulation attacks while implementing the parameter optimization strategy.Through extensive attack simulations across various digital videos,we identify the optimal low-frequency PHT moment using adaptive normalization.Subsequently,the embedding parameters for robust watermarking are adaptively adjusted to maximize robustness.To address computational efficiency and practical requirements,the unnormalized high-frequency PHT moment is selected as the embedding domain for reversible watermarking.We optimize the traditional single-stage extended transform dithering modulation(STDM)to facilitate multi-stage embedding in the dual-domain watermarking process.In practice,the video embedded with a robust watermark serves as the candidate video.This candidate video undergoes simulation according to the parameter optimization strategy to balance robustness and embedding capacity,with adaptive determination of embedding strength.The reversible watermarking is formed by combining errors and other information,utilizing recursive coding technology to ensure reversibility without attacks.Comprehensive analyses of multiple performance indicators demonstrate that our scheme exhibits strong robustness against Common Signal Processing(CSP)and Geometric Deformation(GD)attacks,outperforming other advanced video watermarking algorithms under similar conditions of invisibility,reversibility,and embedding capacity.This underscores the effectiveness and feasibility of our attack simulation fitting strategy.
文摘无线多媒体传感器网络中的多媒体传感器节点的功率、计算和存储能力及带宽资源受限,迫切需要低复杂度的视频处理技术对大数据量的视频进行压缩传输。基于来自网络中监控同一目标场景的多种类型传感器的信息,给出了一个新的无线多媒体传感器网络分布式视频处理系统框架;提出了一种基于多类型传感数据融合和多视角的GOP(group of picture)划分方法;在解码端,考虑单一视角视频序列之间较强的时间相关性,产生时间相关的边信息;利用来自多个视频传感节点的视频序列间的空间多视角相关性,产生多视角相关的边信息,并提供两种边信息的融合和选择机制,提高边信息的准确度和可靠性。最后仿真实验结果表明该方法的有效性和优越性。
