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    • 3. 发明授权
    • Picture/graphics classification system and method
    • 图片/图形分类系统和方法
    • US06983068B2
    • 2006-01-03
    • US09965922
    • 2001-09-28
    • Salil PrabhakarHui ChengZhigang FanJohn C. HandleyYing-wei Lin
    • Salil PrabhakarHui ChengZhigang FanJohn C. HandleyYing-wei Lin
    • G06K9/00
    • G06K9/00456
    • A method and system for image processing, in conjunction with classification of images between natural pictures and synthetic graphics, using SGLD texture (e.g., variance, bias, skewness, and fitness), color discreteness (e.g., R—L, R—U, and R—V normalized histograms), or edge features (e.g., pixels per detected edge, horizontal edges, and vertical edges) is provided. In another embodiment, a picture/graphics classifier using combinations of SGLD texture, color discreteness, and edge features is provided. In still another embodiment, a “soft” image classifier using combinations of two (2) or more SGLD texture, color discreteness, and edge features is provided. The “soft” classifier uses image features to classify areas of an input image in picture, graphics, or fuzzy classes.
    • 一种用于图像处理的方法和系统,结合使用SGLD纹理(例如,方差,偏差,偏度和适应度)的自然图像和合成图像之间的图像分类,颜色离散性(例如,R SUB 提供了一个或多个边缘特征(例如每个检测到的边缘,水平边缘和垂直边缘的像素)。 在另一个实施例中,提供了使用SGLD纹理,颜色离散性和边缘特征的组合的图片/图形分类器。 在另一个实施例中,提供了使用两(2)或更多SGLD纹理,颜色离散性和边缘特征的组合的“软”图像分类器。 “软”分类器使用图像特征来对图像,图形或模糊类中的输入图像的区域进行分类。
    • 8. 发明授权
    • Systems and methods to detect models and accounts with anomalous revenue from color impressions
    • 用于检测来自彩色印象的异常收入的模型和帐户的系统和方法
    • US08352298B2
    • 2013-01-08
    • US12702052
    • 2010-02-08
    • John C. HandleyJeffrey R. Earl
    • John C. HandleyJeffrey R. Earl
    • G06Q10/00
    • G06Q10/10
    • Methods and systems for identifying device models or accounts exhibiting outlying behavior are disclosed. For a method of identifying a device model exhibiting outlying behavior, a processor may receive a color impression count, a monochrome impression count and either a device model for each of a plurality of devices. A proportion of color revenue may be determined for each device based on the color impression count and the monochrome impression count. The processor may determine, for each device model, a distribution of the proportion of color revenue for the one or more devices having the device model and may automatically identify one or more distributions of the proportion of color revenue exhibiting outlying behavior. Each distribution is associated with a device model.
    • 公开了用于识别显示偏离行为的装置模型或帐户的方法和系统。 对于识别具有偏离行为的设备模型的方法,处理器可以接收彩色印象计数,单色印象计数和针对多个设备中的每一个的设备模型。 可以基于颜色展示计数和单色印象计数来确定每个设备的颜色收入的一部分。 处理器可以针对每个设备模型确定具有设备模型的一个或多个设备的颜色收入的比例的分布,并且可以自动识别表现出偏离行为的颜色收入的比例的一个或多个分布。 每个分发与设备模型相关联。