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97 条记录 (耗时 0.036 秒)

    Content distribution system, copyright protection system and content receiving terminal
    92.
    发明授权
    Content distribution system, copyright protection system and content receiving terminal 有权

    公开(公告)号：US07007173B2

    公开(公告)日：2006-02-28

    申请号：US10026640

    申请日：2001-12-27

    申请人： Takashi Suzuki ,  Toshiro Kawahara ,  Minoru Etoh

    发明人： Takashi Suzuki ,  Toshiro Kawahara ,  Minoru Etoh

    IPC分类号： G06F1/24

    CPC分类号： G06F21/10

    摘要： A content distribution system is provided in which the content distribution system includes at least a content distribution server, a computer system and a content receiving terminal, the computer system including: a part for generating a content selection document including content location information; and a part for sending the content selection document to the content receiving terminal; the content receiving terminal including: a part for receiving the content selection document from the computer system; an part for extracting the content location information from the content selection document; a part for sending a distribution request for the content to the content distribution server; and a part for receiving the content from the content distribution server.

    Correspondence-between-images detection method and system
    95.
    发明授权
    Correspondence-between-images detection method and system 有权
    图像之间的对应检测方法和系统

    公开(公告)号：US06546120B1

    公开(公告)日：2003-04-08

    申请号：US09373408

    申请日：1999-08-12

    申请人： Minoru Etoh ,  Kouichi Hata

    发明人： Minoru Etoh ,  Kouichi Hata

    IPC分类号： G06K900

    CPC分类号： G06T7/20 ,  G06T7/32 ,  G06T7/55 ,  H04N19/51

    摘要： A correspondence-between-images detection method includes the following three basic steps: (1) Error operation step based on block matching: Block matching is executed by making a search for displacement with the difference absolute sum of intensity errors reaching the minimum from within a comparison image with respect to a block of 16×16 pixels in a reference image. (2) Quadratic error function approximation step with differential operator: Assuming that the block matching result forms a curved surface is parabolic, quadratic error function approximation is executed. (3) Nonlinear iteractive minimization step with respect to planar perspective mapping parameter: The quadratic error function sum on the whole screen is found by executing a sequential recursive step of a Newton's method improved for planar perspective mapping parameter.

    摘要翻译： 图像间对应检测方法包括以下三个基本步骤：（1）基于块匹配的错误操作步骤：通过对强度误差的绝对值之差达到最小的位移进行搜索，执行块匹配 相对于参考图像中的16×16像素的块的比较图像。 （2）差分算子的二次误差函数逼近步骤：假设块匹配结果形成曲面是抛物线，则执行二次误差函数近似。 （3）相对于平面透视映射参数的非线性迭代最小化步骤：通过执行针对平面透视映射参数改进的牛顿方法的顺序递归步骤，找到整个屏幕上的二次误差函数和。

    Image clustering apparatus
    97.
    发明授权
    Image clustering apparatus 失效
    图像聚类装置

    公开(公告)号：US5519789A

    公开(公告)日：1996-05-21

    申请号：US141073

    申请日：1993-10-26

    申请人： Minoru Etoh

    发明人： Minoru Etoh

    IPC分类号： G06T7/00 ,  G06T5/00 ,  G06K9/36

    CPC分类号： G06K9/6222 ,  G06K9/342 ,  G06K9/38 ,  G06K9/4652 ,  G06K9/6272 ,  G06T7/0081 ,  G06T7/0087

    摘要： For determining class mean and covariance in class so as to make distribution parameters of pixels express statistical properties of the object, and for clustering the image stably at high speed, the apparatus has: (a) frame memory storing image composed of coded pixels, (b) reading device for reading out values of pixels randomly about horizontal and vertical positions from the frame memory, and generating a sample vector containing coupling of read out pixels values and corresponding horizontal and vertical position data, (c) memory for holding a plurality of sets of covariance matrix and mean vector of sample vector as class data, (d) likelihood calculating circuit calculating likelihood of sample vector to plural sets of class data as the distance between sample classes which is sum of a distance obtained by normalizing difference of sample vector and mean vector by covariance matrix, and a magnitude of covariance matrix, (e) maximum likelihood class selecting device selecting set minimizing distance between sample classes among combinations of class data, and (f) class data changing device sequentially changing mean vector and covariance matrix composing class data in direction of reducing distance between sample classes, by using difference vector of sample vector and mean vector.

    摘要翻译： 为了确定类中的阶级均值和协方差，使得​​像素的分布参数表示对象的统计特性，并且为了高速稳定地聚类图像，该装置具有：（a）帧存储器存储由编码像素组成的图像（ b）读取装置，用于从帧存储器中随机读出水平和垂直位置的像素值，并且生成包含读出像素值和对应的水平和垂直位置数据的耦合的采样矢量，（c）用于保存多个 将样本矢量的协方差矩阵和平均矢量集合作为类数据，（d）似然计算电路计算样本矢量对多组类数据的可能性，作为样本类别之间的距离，其是通过归一化样本矢量的差异获得的距离之和 和协方差矩阵的平均矢量和协方差矩阵的幅度，（e）最大似然类选择装置选择集 最小化类数据组合中样本类别之间的距离;（f）类数据改变装置，通过使用样本向量和平均向量的差向量，顺序地改变在缩小样本类之间距离的方向上组合类数据的平均向量和协方差矩阵。