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    • 22. 发明授权
    • Rotation, scale, and translation resilient public watermarking for images using a log-polar fourier transform
    • 旋转,缩放和翻译使用对数极化傅立叶变换的图像的弹性公共水印
    • US06282300B1
    • 2001-08-28
    • US09489752
    • 2000-01-21
    • Jeffrey A. BloomIngemar J. CoxMatthew L. MillerMin WuChing-Yung LinYui Man Lui
    • Jeffrey A. BloomIngemar J. CoxMatthew L. MillerMin WuChing-Yung LinYui Man Lui
    • H04K100
    • G06T1/0064H04N1/00005H04N1/00037H04N1/00074H04N1/32154H04N1/3216H04N1/32267H04N1/3232H04N2201/3233H04N2201/327
    • A method for detecting a watermark signal in digital image data. The detecting method includes the steps of: computing a log-polar Fourier transform of the image data to obtain a log-polar Fourier spectrum; projecting the log-polar Fourier spectrum down to a lower dimensional space to obtain an extracted signal; comparing the extracted signal to a target watermark signal; and declaring the presence or absence of the target watermark signal in the image data based on the comparison. Also provided is a method for inserting a watermark signal in digital image data to obtain a watermarked image. The inserting method includes the steps of: computing a log-polar Fourier transform of the image data to obtain a log-polar Fourier spectrum; projecting the log-polar Fourier spectrum down to a lower dimensional space to obtain an extracted signal; modifying the extracted signal such that it is similar to a target watermark; performing a one-to-many mapping of the modified signal back to log-polar Fourier transform space to obtain a set of watermarked coefficients; and performing an inverse log-polar Fourier transform on the set of watermarked coefficients to obtain a watermarked image.
    • 一种用于检测数字图像数据中的水印信号的方法。 检测方法包括以下步骤:计算图像数据的对数极傅立叶变换以获得对数极傅立叶频谱; 将对数极傅立叶频谱投影到较低维空间以获得提取的信号; 将提取的信号与目标水印信号进行比较; 并基于该比较来声明图像数据中的目标水印信号的存在或不存在。 还提供了一种在数字图像数据中插入水印信号以获得水印图像的方法。 插入方法包括以下步骤:计算图像数据的对数极傅立叶变换以获得对数极傅立叶频谱; 将对数极傅立叶频谱投影到较低维空间以获得提取的信号; 修改提取的信号,使其类似于目标水印; 将经修改的信号的一对多映射返回到对数极傅立叶变换空间以获得一组水印系数; 对该水印系数组进行反对数极坐标傅里叶变换,得到水印图像。
    • 25. 发明授权
    • Content-based and time-evolving social network analysis
    • 基于内容和时间的社交网络分析
    • US08204988B2
    • 2012-06-19
    • US12552812
    • 2009-09-02
    • Ching-Yung LinSpyridon PapadimitrionJimeng SunKun-Lung Wu
    • Ching-Yung LinSpyridon PapadimitrionJimeng SunKun-Lung Wu
    • G06F15/173
    • G06K9/00677G06K9/6224G06Q30/02
    • System and method for modeling a content-based network. The method includes finding single mode clusters from among network (sender and recipient) and content dimensions represented as a tensor data structure. The method allows for derivation of useful cross-mode clusters (interpretable patterns) that reveal key relationships among user communities and keyword concepts for presentation to users in a meaningful and intuitive way. Additionally, the derivation of useful cross-mode clusters is facilitated by constructing a reduced low-dimensional representation of the content-based network. Moreover, the invention may be enhanced for modeling and analyzing the time evolution of social communication networks and the content related to such networks. To this end, a set of non-overlapping or possibly overlapping time-based windows is constructed and the analysis performed at each successive time interval.
    • 用于建模基于内容的网络的系统和方法。 该方法包括从网络(发送者和接收者)和表示为张量数据结构的内容维度中找到单一模式集群。 该方法允许推导出有用的交叉模式集群(可解释模式),其显示用户社区之间的关键关系和关键字概念,以有意义和直观的方式呈现给用户。 另外,通过构建基于内容的网络的减少的低维表示来促进有用的交叉模式集群的推导。 此外,本发明可以被增强用于建模和分析社交通信网络的时间演进和与这样的网络有关的内容。 为此,构建一组不重叠或可能重叠的基于时间的窗口,并且在每个连续的时间间隔执行分析。
    • 27. 发明申请
    • CONTENT-BASED AND TIME-EVOLVING SOCIAL NETWORK ANALYSIS
    • 基于内容和时间演化的社会网络分析
    • US20110055379A1
    • 2011-03-03
    • US12552812
    • 2009-09-02
    • Ching-Yung LinSpyridon PapadimitriouJimeng SunKun-Lung Wu
    • Ching-Yung LinSpyridon PapadimitriouJimeng SunKun-Lung Wu
    • G06F17/10G06F15/173
    • G06K9/00677G06K9/6224G06Q30/02
    • System and method for modeling a content-based network. The method includes finding single mode clusters from among network (sender and recipient) and content dimensions represented as a tensor data structure. The method allows for derivation of useful cross-mode clusters (interpretable patterns) that reveal key relationships among user communities and keyword concepts for presentation to users in a meaningful and intuitive way. Additionally, the derivation of useful cross-mode clusters is facilitated by constructing a reduced low-dimensional representation of the content-based network. Moreover, the invention may be enhanced for modeling and analyzing the time evolution of social communication networks and the content related to such networks. To this end, a set of non-overlapping or possibly overlapping time-based windows is constructed and the analysis performed at each successive time interval.
    • 用于建模基于内容的网络的系统和方法。 该方法包括从网络(发送者和接收者)和表示为张量数据结构的内容维度中找到单一模式集群。 该方法允许推导出有用的交叉模式集群(可解释模式),其显示用户社区之间的关键关系和关键字概念,以有意义和直观的方式呈现给用户。 另外,通过构建基于内容的网络的减少的低维表示来促进有用的交叉模式集群的推导。 此外,本发明可以被增强用于建模和分析社交通信网络的时间演进和与这样的网络有关的内容。 为此,构建一组不重叠或可能重叠的基于时间的窗口,并且在每个连续的时间间隔执行分析。