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    • 25. 发明申请
    • Method and system for determining offering combinations in a multi-product environment
    • 用于在多产品环境中确定提供组合的方法和系统
    • US20070027703A1
    • 2007-02-01
    • US11191081
    • 2005-07-28
    • Jianying HuAleksandra Mojsilovic
    • Jianying HuAleksandra Mojsilovic
    • G06Q99/00
    • G06Q30/02G06Q30/0202G06Q30/0625
    • A multi-product environment is analyzed to identify combinations of products or services which represent strategic offerings of a company. For a multi-product environment and a set of client accounts, a segmentation tree is constructed to identify the offering groups of interest. The tree is first initialized as a root representing all offerings, all clients and an empty offering set. A recursive algorithm is then applied to grow the tree at each node by segmenting the clients based on whether a particular offering is purchased. The selection of the offering to use for segmentation at each node is determined by a mathematical algorithm that considers two factors: 1) the offering should have high pulling power, meaning it is likely to produce high revenue in combination with other offerings, and 2) the offering should be unlikely to cause fragmentation, meaning nodes representing a very small amount of revenue. The algorithm terminates when each leaf node reaches one of the two limits: 1) Representation limit which is reached when a significant portion of revenue is accounted for by offerings in a particular grouping and 2) Significance limit which is reached when the revenue represented by a node is too small to be considered significant. At this point all leaf nodes representing significant revenue are collected as the offering groups.
    • 分析多产品环境,以确定代表公司战略性产品的产品或服务的组合。 对于多产品环境和一组客户帐户,构建分割树来识别感兴趣的产品组。 树首先被初始化为表示所有产品,所有客户端和空提供集的根。 然后应用递归算法来根据是否购买特定产品,通过对客户端进行细分来在每个节点生长树。 在每个节点上选择用于分割的产品是通过考虑两个因素的数学算法来确定的:1)产品应具有较高的牵引力,这意味着与其他产品相结合可能产生高收入,以及2) 该产品不应该导致分散,意味着节点代表的收入非常小。 当每个叶节点达到两个限制之一时,该算法终止:1)当特定分组中的产品占相当一部分收入时所达到的表示限制,以及2)当由a表示的收入达到的意义限制 节点太小,不能被认为是重要的。 在这一点上,所有代表重要收入的叶节点被收集作为提供组。
    • 28. 发明申请
    • COLOR NAMING, COLOR CATEGORIZATION AND DESCRIBING COLOR COMPOSITION OF IMAGES
    • 颜色名称,颜色分类和描述图像的颜色组成
    • US20110216973A1
    • 2011-09-08
    • US13108547
    • 2011-05-16
    • Aleksandra Mojsilovic
    • Aleksandra Mojsilovic
    • G06K9/00
    • H04N1/644G01J3/462G01J3/463G01J3/465G06T7/90
    • The invention provides methods, systems and apparatus for assigning color names to individual image pixels, and generating verbal description of color composition in images, suitable for a wide variety of information processing applications. For an isolated image pixel (individual color sample or color value) an illustrative embodiment of this invention uses a predetermined vocabulary of color names, and then generates a distance measure describing the best color match and corresponding color name for the given pixel. For the input image, an illustrative embodiment of this invention computes the simplified representation of the scene, consistent with human perception, and uses the predetermined vocabulary, syntax rules and metric to assign color names to all perceptually significant objects and regions and obtain the verbal description of the overall color composition. The invention is also applicable to other types of information signals, such as sequences of video frames, web pages, etc.
    • 本发明提供了用于将颜色名称分配给各个图像像素的方法,系统和装置,以及生成适用于各种各样的信息处理应用的图像中颜色组合的语言描述。 对于孤立图像像素(单独颜色样本或颜色值),本发明的说明性实施例使用预定的颜色名称词汇表,然后生成描述给定像素的最佳颜色匹配和对应颜色名称的距离度量。 对于输入图像,本发明的说明性实施例根据人类感知计算场景的简化表示,并且使用预定词汇,语法规则和度量为所有感知有意义的对象和区域分配颜色名称并获得口头描述 的整体色彩组成。 本发明也适用于其他类型的信息信号,例如视频帧序列,网页等。
    • 29. 发明授权
    • Color naming, color categorization and describing color composition of images
    • 颜色命名,颜色分类和描述图像的颜色组成
    • US08000524B2
    • 2011-08-16
    • US12123681
    • 2008-05-20
    • Aleksandra Mojsilovic
    • Aleksandra Mojsilovic
    • G06K9/00
    • H04N1/644G01J3/462G01J3/463G01J3/465G06T7/90
    • The invention provides methods, systems and apparatus for assigning color names to individual image pixels, and generating verbal description of color composition in images, suitable for a wide variety of information processing applications. For an isolated image pixel (individual color sample or color value) an illustrative embodiment of this invention uses a predetermined vocabulary of color names, and then generates a distance measure describing the best color match and corresponding color name for the given pixel. For the input image, an illustrative embodiment of this invention computes the simplified representation of the scene, consistent with human perception, and uses the predetermined vocabulary, syntax rules and metric to assign color names to all perceptually significant objects and regions and obtain the verbal description of the overall color composition. The invention is also applicable to other types of information signals, such as sequences of video frames, web pages, etc.
    • 本发明提供了用于将颜色名称分配给各个图像像素的方法,系统和装置,以及生成适用于各种各样的信息处理应用的图像中颜色组合的语言描述。 对于孤立图像像素(单独颜色样本或颜色值),本发明的说明性实施例使用预定的颜色名称词汇,然后生成描述给定像素的最佳颜色匹配和对应颜色名称的距离度量。 对于输入图像,本发明的说明性实施例根据人类感知计算场景的简化表示,并且使用预定词汇,语法规则和度量为所有感知有意义的对象和区域分配颜色名称并获得口头描述 的整体色彩组成。 本发明也适用于其他类型的信息信号,例如视频帧序列,网页等。