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    • 54. 发明授权
    • Analyzing tabular structures in expression recognition
    • 分析表达式识别中的表格结构
    • US07447360B2
    • 2008-11-04
    • US11155783
    • 2005-06-20
    • Yue LiLei HuangJian Wang
    • Yue LiLei HuangJian Wang
    • G06K9/18G06K9/00
    • G06K9/222
    • A mechanism for recognizing and inputting handwritten mathematical expressions into a computer by providing part of a multi-path framework is described. The part of the multi-path framework is tabular structure analysis component that is designed to determine tabular structures, such as ones defined by brackets, within handwritten mathematical expressions. A method for determining tabular structures in a handwritten mathematical expression includes determining whether a symbol representative of input strokes corresponds to a tabular structure associated with a mathematical expression. The tabular structure may be a matrix or multi-line expression. The method includes dividing input strokes into rows and columns and determining the existence of one or more brackets that define a tabular structure.
    • 描述了通过提供一部分多路径框架来将手写数学表达式识别并输入计算机的机制。 多路径框架的一部分是表格结构分析组件,其被设计用于在手写数学表达式中确定诸如由括号定义的表格结构。 用于确定手写数学表达式中的表格结构的方法包括确定代表输入笔画的符号是否对应于与数学表达式相关联的表格结构。 表格结构可以是矩阵或多行表达式。 该方法包括将输入笔划分成行和列,并确定定义表格结构的一个或多个括号的存在。
    • 57. 发明授权
    • Software feature usage analysis and reporting
    • 软件功能使用分析和报告
    • US07747988B2
    • 2010-06-29
    • US11818600
    • 2007-06-15
    • Wenli ZhuYantao LiQiang WangHaidong ZhangBing SunGuowei LiuShuguang YeMin WangAdan Azfar MahmudJian Wang
    • Wenli ZhuYantao LiQiang WangHaidong ZhangBing SunGuowei LiuShuguang YeMin WangAdan Azfar MahmudJian Wang
    • G06F9/44
    • G06F11/3466G06F2201/865
    • Described is a technology for analyzing usage of a software program's features. Software instrumentation data is collected during actual user program usage sessions. The collected data is then processed to determine various feature usage counts and other information, cross-feature usage (e.g., among users who use a feature, how many use another feature or program), and characteristics of feature users, e.g., how long, how much, how often and how extensive feature users use a program. Session analysis may be performed to provide information about the number of sessions in which a set of features occur. Feature usage trends over time may also be determined via analysis. A user interface is described for facilitating selection of one or more features to analyze, for facilitating selection of a group of users, and/or for outputting results corresponding to the analysis.
    • 描述了一种用于分析软件程序功能的使用的技术。 在实际用户程序使用会话期间收集软件仪器数据。 然后处理所收集的数据以确定各种特征使用计数和其他信息,交叉特征使用(例如,在使用特征的用户中,使用另一个特征或程序的用户数量)以及特征用户的特征,例如多长时间, 用户使用程序多少,多长时间以及广泛的功能。 可以执行会话分析以提供关于一组特征出现的会话数量的信息。 随着时间的推移,功能使用趋势也可以通过分析来确定。 描述用户界面以便于选择一个或多个特征以分析,以便于选择一组用户,和/或用于输出对应于该分析的结果。
    • 58. 发明授权
    • Embedded interaction code recognition
    • 嵌入式交互代码识别
    • US07599560B2
    • 2009-10-06
    • US11112604
    • 2005-04-22
    • Qiang WangLiyong ChenYingong DangJiang WuJian Wang
    • Qiang WangLiyong ChenYingong DangJiang WuJian Wang
    • G06K9/46G06K9/66
    • G06K7/1456G06F3/0321G06K7/14
    • In accordance with embodiments of the invention, embedded interaction code (EIC) symbols are recognized. EIC dots are generated based on effective EIC symbols, which have been generated by processing an image containing the EIC symbols, by obtaining graylevels of selected positions of the EIC-symbols. Rotated EIC dots are generated based on the EIC dots by determining which grid cells correspond to the EIC symbols and by determining which direction is a correct orientation of the EIC symbols. A homography matrix is updated with orientation information based on the EIC dots. EIC bits are extracted from the rotated EIC dots based on graylevels of selected positions of the rotated EIC dots.
    • 根据本发明的实施例,识别嵌入式交互码(EIC)符号。 基于通过对包含EIC符号的图像进行处理而产生的有效EIC符号,通过获得EIC符号的选定位置的灰度来生成EIC点。 通过确定哪个网格单元对应于EIC符号并且通过确定哪个方向是EIC符号的正确方向,基于EIC点生成旋转的EIC点。 基于EIC点的取向信息更新单应性矩阵。 基于所旋转的EIC点的所选择的位置的灰度等级,从旋转的EIC点提取EIC位。