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    • 5. 发明授权
    • Document content and structure conversion
    • 文件内容和结构转换
    • US07623710B2
    • 2009-11-24
    • US11353915
    • 2006-02-14
    • Patrice Y. SimardRadoslav Petrov Nickolov
    • Patrice Y. SimardRadoslav Petrov Nickolov
    • G06K9/34
    • G06K9/00442
    • A system that can convert content and structure of a document from an original format into a target format irrespective of the functional specifics of the original format. The system can automatically infer the content and structure of a document via a rendered format thereby restoring the programmatic functionality of the original file (or generating programmatic functionality of a desired target format) through the novel conversion/import process. The system can extract the document structure (e.g., layout) together with the content in order to effectuate the conversion. Heuristics (e.g., logic and/or reasoning) can be employed to make decisions with respect to importing the document into a target format and/or formats.
    • 一种可以将文档的内容和结构从原始格式转换为目标格式的系统,而不考虑原始格式的功能细节。 该系统可以通过呈现的格式自动推断文档的内容和结构,从而通过新颖的转换/导入过程恢复原始文件的编程功能(或产生所需目标格式的编程功能)。 系统可以与内容一起提取文档结构(例如布局),以便实现转换。 可以采用启发式(例如,逻辑和/或推理)来做出关于将文档导入目标格式和/或格式的决定。
    • 6. 发明授权
    • Ink warping for normalization and beautification / ink beautification
    • 油墨翘曲正常化和美化/油墨美化
    • US07593574B2
    • 2009-09-22
    • US11173243
    • 2005-07-01
    • Patrice Y. SimardManeesh AgrawalaDavid W. Steinkraus
    • Patrice Y. SimardManeesh AgrawalaDavid W. Steinkraus
    • G06K9/18
    • G06K9/00416
    • Systems and methods are disclosed that facilitate normalizing and beautifying digitally generated handwriting, such as can be generated on a tablet PC or via scanning a handwritten document. A classifier can identify extrema in the digital handwriting and label such extrema according to predefined categories (e.g., bottom, baseline, midline, top, other, . . . ). Multi-linear regression, polynomial regression, etc., can be performed to align labeled extrema to respective and corresponding desired points as indicated by the labels. Additionally, displacement techniques can be applied to the regressed handwriting to optimize legibility for reading by a human viewer and/or for character recognition by a handwriting recognition application. The displacement techniques can comprise a “rubber sheet” displacement algorithm in conjunction with a “rubber rod” displacement algorithm, which can collectively preserve spatial features of the handwriting during warping thereof.
    • 公开了促进数字生成的笔迹的归一化和美化的系统和方法,诸如可以在平板PC上生成或通过扫描手写文档。 分类器可以根据预定类别(例如,底部,基线,中线,顶部,其他等)识别数字手写中的极值并标记这样的极值。 可以执行多线性回归,多项式回归等,以将标记的极值与标签所示的相应和对应的期望点对齐。 此外,位移技术可以应用于回归的笔迹,以优化由人类观察者阅读的可读性和/或通过手写识别应用的字符识别。 位移技术可以包括“橡胶片”位移算法,结合“橡胶棒”位移算法,其可以在其翘曲期间共同保留笔迹的空间特征。
    • 8. 发明申请
    • CREDIT-BASED PEER-TO-PEER STORAGE
    • 基于信用的对等存储
    • US20080320140A1
    • 2008-12-25
    • US11768189
    • 2007-06-25
    • Patrice Y. SimardPaul Alfred ViolaJin Li
    • Patrice Y. SimardPaul Alfred ViolaJin Li
    • G06F15/173
    • G06F9/5016G06F9/5072H04L67/1002H04L67/1008H04L67/104H04L67/1082
    • Distributed computing devices comprising a system for sharing computing resources can provide shared computing resources to users having sufficient resource credits. A user can earn resource credits by reliably offering a computing resource for sharing for a predetermined amount of time. The conversion rate between the amount of credits awarded, and the computing resources provided by a user can be varied to maintain balance within the system, and to foster beneficial user behavior. Once earned, the credits can be used to fund the user's account, joint accounts which include the user and others, or others' accounts that do not provide any access to the user. Computing resources can be exchanged on a peer-to-peer basis, though a centralized mechanism can link relevant peers together. To verify integrity, and protect against maliciousness, offered resources can be periodically tested.
    • 包括用于共享计算资源的系统的分布式计算设备可以向具有足够资源信用的用户提供共享的计算资源。 用户可以通过可靠地提供用于共享预定时间量的计算资源来获得资源信用。 可以改变授予的学分数量和用户提供的计算资源之间的转换率,以保持系统内的平衡,并促进有益的用户行为。 一旦获得,信用额可以用于为用户的帐户,包括用户和其他人的联合账户或不提供对用户的访问的其他账户提供资金。 计算资源可以在对等的基础上交换,尽管集中的机制可以将相关的对等体链接在一起。 为了验证完整性,并防止恶意,提供的资源可以定期测试。
    • 9. 发明授权
    • Layout analysis
    • 布局分析
    • US07392472B2
    • 2008-06-24
    • US10133939
    • 2002-04-25
    • Patrice Y. SimardJames Russell Rinker
    • Patrice Y. SimardJames Russell Rinker
    • G06F17/00
    • G06K9/00463
    • A system and method facilitating layout analysis is provided. The invention includes a layout analyzer having a connected component organizer, a connected joiner, a word organizer and a word joiner. The invention provides for the connected component organizer to organize connected components based upon color, horizontal position and/or vertical position. The invention provides for the connected component joiner to join connected components based, at least in part, upon color, vertical position, horizontal position, a distance between the connected components, height of the connected components and/or width of the connected components. The word organizer organizes words and the word joiner joins words into lines. The joining of words into lines can cause the connected component joining to attempt to further join connected components into words.
    • 提供了一种促进布局分析的系统和方法。 本发明包括具有连接的组件管理器,连接的连接器,单词组织器和单词连接器的布局分析器。 本发明提供了连接组件管理器基于颜色,水平位置和/或垂直位置组织连接的组件。 本发明至少部分地基于颜色,垂直位置,水平位置,连接部件之间的距离,连接部件的高度和/或连接的部件的宽度来提供连接的部件连接器来连接连接部件。 单词组织者组织单词,单词joiner将单词连接成行。 将单词连接成行可以导致连接的组件加入,以尝试将连接的组件进一步连接成单词。
    • 10. 发明申请
    • CONSTRAINT-BASED CORRECTION OF HANDWRITING RECOGNITION ERRORS
    • 手写识别错误的约束校正
    • US20080056578A1
    • 2008-03-06
    • US11470076
    • 2006-09-05
    • Michael ShilmanDesney S. TanPatrice Y. Simard
    • Michael ShilmanDesney S. TanPatrice Y. Simard
    • G06K9/18G06K9/00
    • G06K9/00436G06K9/6255G06K9/626
    • A handwriting recognition system interprets handwritten text and produces a typed interpretation of that text. When the initial interpretation of the handwritten text is inaccurate, the handwriting recognition system alters the initial recognition by reinterpreting the handwritten text in view of a correction made by a user and constraints (e.g., derived by assumptions in user behavior). The handwriting recognition system intelligently reinterprets and renews its text recognition each time the user implements a correction. In effect, a single correction can trigger multiple adjustments to the text recognition. Therefore, with the use of a reinterpretation algorithm, the handwriting recognition system helps the user obtain the desired result in fewer correction steps.
    • 手写识别系统解释手写文本,并产生对该文本的类型解释。 当手写文本的初始解释不准确时,鉴于用户进行的修正和约束(例如,通过用户行为的假设导出),手写识别系统通过重新解读手写文本来改变初始识别。 手写识别系统在每次用户执行校正时智能地重新诠释和更新其文本识别。 实际上,单次校正可以触发文本识别的多个调整。 因此,通过使用重新解释算法,手写识别系统帮助用户在更少的校正步骤中获得期望的结果。