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    Image processing for arranging images based on size ratio
    8.
    发明授权
    Image processing for arranging images based on size ratio 失效
    基于大小比例排列图像的图像处理

    公开(公告)号：US08265423B2

    公开(公告)日：2012-09-11

    申请号：US12277529

    申请日：2008-11-25

    申请人： Yasuo Fukuda

    发明人： Yasuo Fukuda

    IPC分类号： G06K9/20 ,  H04N1/46

    CPC分类号： H04N1/3875

    摘要： A plurality of images are input, specific regions are set for each of the inputted plurality of images, a typical size of the specific regions of each of the plurality of images is determined, and the ratio of the typical size to the size of the entire image is calculated as a typical size ratio. A typical size ratio used as a reference is selected from the typical size ratios calculated for the respective images as a reference ratio, and a candidate region upon trimming that image is determined based on the specific regions of each of the plurality of images. A trimming region for each of the plurality of images is determined based on the reference ratio, and the typical size ratio and candidate region of each image, and each of the plurality of images is trimmed according to the trimming region.

    摘要翻译： 输入多个图像，为输入的多个图像中的每一个设置特定区域，确定多个图像中的每个图像的特定区域的典型尺寸，并且确定典型尺寸与整体尺寸的比例 图像计算为典型尺寸比。 从作为参考比的各个图像计算出的典型尺寸比选择典型的尺寸比，并且根据多个图像中的每一个的特定区域来确定图像的修剪后的候选区域。 基于参考比率和每个图像的典型尺寸比和候选区域确定多个图像中的每一个的修整区域，并且根据修剪区域修剪多个图像中的每一个。

    IMAGE PROCESSING APPARATUS, IMAGE PROCESSING SYSTEM, AND CONTROL METHOD FOR IMAGE PROCESSING APPARATUS
    9.
    发明申请
    IMAGE PROCESSING APPARATUS, IMAGE PROCESSING SYSTEM, AND CONTROL METHOD FOR IMAGE PROCESSING APPARATUS 有权
    图像处理装置，图像处理系统和图像处理装置的控制方法

    公开(公告)号：US20110091072A1

    公开(公告)日：2011-04-21

    申请号：US12903477

    申请日：2010-10-13

    申请人： Yasuo Fukuda

    发明人： Yasuo Fukuda

    IPC分类号： G06K9/00

    CPC分类号： G06K9/00993 ,  G06K2209/27

    摘要： An image processing apparatus capable of communicating with a plurality of servers stores image data including an object of recognition, and a plurality of recognition dictionaries. The image processing apparatus establishes communication with one of the servers to receive, from the server with which the communication has been established, designation information designating a recognition dictionary for recognizing the object of recognition included in the image data. The image processing apparatus identifies the recognition dictionary designated in the received designation information from among the stored recognition dictionaries and uses the identified recognition dictionary to recognize the object of recognition included in the image data.

    摘要翻译： 能够与多个服务器通信的图像处理装置存储包括识别对象的图像数据和多个识别字典。 所述图像处理装置与所述服务器之一建立通信，以从已建立通信的服务器接收指定用于识别所述图像数据中包含的识别对象的识别字典的指定信息。 图像处理装置从存储的识别字典中识别在接收到的指定信息中指定的识别字典，并使用识别的识别字典来识别包含在图像数据中的识别对象。

    Selection of coefficients for quantization processing based on whether an original image is a still image or a moving image
    10.
    发明授权
    Selection of coefficients for quantization processing based on whether an original image is a still image or a moving image 失效
    基于原始图像是静止图像还是运动图像来选择用于量化处理的系数

    公开(公告)号：US07394928B2

    公开(公告)日：2008-07-01

    申请号：US11491265

    申请日：2006-07-24

    申请人： Yasuo Fukuda

    发明人： Yasuo Fukuda

    IPC分类号： G06K9/00 ,  G06K9/36 ,  H04N5/225

    CPC分类号： G06F17/3025

    摘要： The present invention permits to determine an image characteristic amount for efficiently searching an image without affecting a bad influence upon searching accuracy. First image characteristic amount data is extracted. Second image characteristic amount data is extracted. Then, a distance between two image characteristic amount data is calculated. Further, the calculated distance is compared with a threshold value. If the distance is smaller than the threshold value, the image characteristic amount data having smaller number of coefficients which is advantageous because of smaller data amount is selected, and, if otherwise, the image characteristic amount data having greater number of coefficients is selected.

    摘要翻译： 本发明允许确定用于有效地搜索图像的图像特征量而不影响搜索精度的不良影响。 提取第一图像特征量数据。 提取第二图像特征量数据。 然后，计算两个图像特征量数据之间的距离。 此外，将计算出的距离与阈值进行比较。 如果距离小于阈值，则选择由于数据量较小而具有较小数目的系数的图像特征量数据，否则选择具有较大系数的图像特征量数据。