Apparatus and method for segmenting and classifying image data
    1.
    发明授权
    Apparatus and method for segmenting and classifying image data 失效
    用于分割和分类图像数据的装置和方法

    公开(公告)号:US06240205B1

    公开(公告)日:2001-05-29

    申请号:US09099419

    申请日:1998-06-18

    CPC classification number: G06K9/00456

    Abstract: A method and apparatus for segmenting image data into windows and for classifying the windows as typical image types includes making two passes through the image data. The method includes a step of making a first pass through the image data to identify windows and to record the beginning points and image types of each of the windows, and a step of making a second pass through the image data to label each of the pixels as a particular image type. The invention also includes a macro-detection method and apparatus for separating a scanline of image data into edges and image runs and for classifying each of the edges and image runs as standard image types. In the macro-detection method, image runs and edges are classified based on micro-detection results and based on image types of adjacent image runs.

    Abstract translation: 用于将图像数据分割成窗口并将窗口分类为典型图像类型的方法和装置包括进行图像数据的两次通过。 该方法包括首先通过图像数据以识别窗口并记录每个窗口的开始点和图像类型的步骤,以及进行第二次通过图像数据以标记每个像素的步骤的步骤 作为特定图像类型。 本发明还包括用于将图像数据的扫描线分离成边缘和图像运行并将每个边缘和图像运行分类为标准图像类型的宏观检测方法和装置。 在宏观检测方法中,图像运行和边缘根据微观检测结果和基于相邻图像运行的图像类型进行分类。

    Apparatus and method for segmenting and classifying image data
    2.
    发明授权
    Apparatus and method for segmenting and classifying image data 失效
    用于分割和分类图像数据的装置和方法

    公开(公告)号:US5850474A

    公开(公告)日:1998-12-15

    申请号:US686803

    申请日:1996-07-26

    CPC classification number: G06K9/00456

    Abstract: A method and apparatus for segmenting image data into windows and for classifying the windows as typical image types includes making two passes through the image data. The method includes a step of making a first pass through the image data to identify windows and to record the beginning points and image types of each of the windows, and a step of making a second pass through the image data to label each of the pixels as a particular image type. The invention also includes a macro-detection method and apparatus for separating a scanline of image data into edges and image runs and for classifying each of the edges and image runs as standard image types. In the macro-detection method, image runs and edges are classified based on micro-detection results and based on image types of adjacent image runs.

    Abstract translation: 用于将图像数据分割成窗口并将窗口分类为典型图像类型的方法和装置包括进行图像数据的两次通过。 该方法包括首先通过图像数据以识别窗口并记录每个窗口的开始点和图像类型的步骤,以及进行第二次通过图像数据以标记每个像素的步骤的步骤 作为特定图像类型。 本发明还包括用于将图像数据的扫描线分离成边缘和图像运行并将每个边缘和图像运行分类为标准图像类型的宏观检测方法和装置。 在宏观检测方法中,图像运行和边缘根据微观检测结果和基于相邻图像运行的图像类型进行分类。

    SEMANTIC ENHANCED LINK-BASED RANKING (SEL RANK) METHODOLOGY FOR PRIORITIZING CUSTOMER REQUESTS
    3.
    发明申请
    SEMANTIC ENHANCED LINK-BASED RANKING (SEL RANK) METHODOLOGY FOR PRIORITIZING CUSTOMER REQUESTS 有权
    用于优化客户要求的语义增强型基于链接的排名(SEL RANK)方法

    公开(公告)号:US20090307208A1

    公开(公告)日:2009-12-10

    申请号:US12135697

    申请日:2008-06-09

    CPC classification number: G06F17/30675

    Abstract: One exemplary method embodiment, pre-processes customer requests that are maintained in a dataset to create a matrix between products and the customer requests. Each of the customer requests comprises at least a customer identification, a textual request, and a product identification related to the textual request. After such pre-processing of the dataset, the method can respond to queries of the dataset using the matrix.

    Abstract translation: 一个示例性方法实施例,预处理在数据集中维护的客户请求以在产品和客户请求之间创建矩阵。 每个客户请求至少包括客户标识,文本请求和与文本请求相关的产品标识。 在对数据集进行这样的预处理之后,该方法可以使用矩阵来响应数据集的查询。

    Semantic enhanced link-based ranking (SEL Rank) methodology for prioritizing customer requests
    4.
    发明授权
    Semantic enhanced link-based ranking (SEL Rank) methodology for prioritizing customer requests 有权
    基于语义增强的基于链接的排名(SEL Rank)方法来优先考虑客户请求

    公开(公告)号:US08065297B2

    公开(公告)日:2011-11-22

    申请号:US12135697

    申请日:2008-06-09

    CPC classification number: G06F17/30675

    Abstract: One exemplary method embodiment, pre-processes customer requests that are maintained in a dataset to create a matrix between products and the customer requests. Each of the customer requests comprises at least a customer identification, a textual request, and a product identification related to the textual request. After such pre-processing of the dataset, the method can respond to queries of the dataset using the matrix.

    Abstract translation: 一个示例性方法实施例,预处理在数据集中维护的客户请求以在产品和客户请求之间创建矩阵。 每个客户请求至少包括客户标识,文本请求和与文本请求相关的产品标识。 在对数据集进行这样的预处理之后,该方法可以使用矩阵来响应数据集的查询。

    WORKFLOW AUTO GENERATION FROM USER CONSTRAINTS AND HIERARCHICAL DEPENDENCE GRAPHS FOR WORKFLOWS
    5.
    发明申请
    WORKFLOW AUTO GENERATION FROM USER CONSTRAINTS AND HIERARCHICAL DEPENDENCE GRAPHS FOR WORKFLOWS 有权
    工作流程从用户约束自动生成和工作流程的层次依赖图

    公开(公告)号:US20080065455A1

    公开(公告)日:2008-03-13

    申请号:US11939924

    申请日:2007-11-14

    Abstract: A system and method of modeling and evaluating workflows that provides workflow auto generation and Hierarchical Dependence Graphs for workflows. Modeling and evaluation of workflows is accomplished by accessing a knowledge database containing service descriptions, generating valid workflows models, simulating workflow and obtaining customer requirements through a Graphical User Interface. This system and method generate and display workflows that satisfy a users requirements. In addition, Hierarchical Dependence Graphs provide abstract views that provide additional analysis and control of workflow.

    Abstract translation: 一种建模和评估工作流的系统和方法,为工作流提供工作流自动生成和分层依赖图。 通过访问包含服务描述的知识数据库,生成有效的工作流模型,模拟工作流程和通过图形用户界面获取客户需求来实现工作流的建模和评估。 该系统和方法生成和显示满足用户需求的工作流。 此外,层次依赖图提供了抽象视图,为工作流提供了额外的分析和控制。

    Workflow auto generation from user constraints and hierarchical dependence graphs for workflows
    6.
    发明申请
    Workflow auto generation from user constraints and hierarchical dependence graphs for workflows 失效
    用户约束的工作流程自动生成和工作流的分层依赖图

    公开(公告)号:US20070094211A1

    公开(公告)日:2007-04-26

    申请号:US11499816

    申请日:2006-08-07

    Abstract: A system and method of automatically generating workflows. Generating the workflows is accomplished by obtaining customer requirements, providing a knowledge base including at least one service description and selecting at least one combination of service descriptions from the at least one service description based on satisfaction of the customer requirements and satisfaction of determination of connectivity between service descriptions for each combination of the at least one combination. At least one valid workflow model is generated by inference, each workflow model including a combination of the at least one combination.

    Abstract translation: 自动生成工作流的系统和方法。 生成工作流程是通过获得客户需求,提供包括至少一个服务描述的知识库以及从至少一个服务描述中选择服务描述的至少一个组合来实现的,这些服务描述基于客户需求的满足和满足客户需求之间的连接性的确定 至少一个组合的每个组合的服务描述。 通过推理生成至少一个有效的工作流模型,每个工作流模型包括至少一个组合的组合。

    Workflow auto generation from user constraints and hierarchical dependence graphs for workflows
    7.
    发明申请
    Workflow auto generation from user constraints and hierarchical dependence graphs for workflows 审中-公开
    用户约束的工作流程自动生成和工作流的分层依赖图

    公开(公告)号:US20050256818A1

    公开(公告)日:2005-11-17

    申请号:US10836298

    申请日:2004-04-30

    Abstract: A system and method of modeling and evaluating workflows that provides workflow auto generation and Hierarchical Dependence Graphs for workflows. Modeling and evaluation of workflows is accomplished by accessing a knowledge database 2 containing service descriptions, generating valid workflows models 4, simulating workflow 6 and obtaining customer requirements through a Graphical User Interface 8. This system and method generate and display workflows that satisfy a users requirements. In addition, Hierarchical Dependence Graphs provide abstract views that provide additional analysis and control of workflow.

    Abstract translation: 一种建模和评估工作流的系统和方法,为工作流提供工作流自动生成和分层依赖图。 通过访问包含服务描述的知识数据库2,生成有效的工作流模型4,模拟工作流6和通过图形用户界面8获得客户需求来实现工作流的建模和评估。 该系统和方法生成和显示满足用户需求的工作流。 此外,层次依赖图提供了抽象视图,为工作流提供了额外的分析和控制。

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