公开(公告)号：US09117195B2

公开(公告)日：2015-08-25

申请号：US13372336

申请日：2012-02-13

Applicant: Matthew R. Casey

Inventor： Matthew R. Casey

IPC: G06F17/30 ,  G06Q10/10

CPC classification number: G06F17/2288 ,  G06F17/22 ,  G06F17/30 ,  G06F17/30011 ,  G06F17/30876 ,  G06Q10/10 ,  G06Q2220/10

Abstract: An e-book system receives and stores different versions of an e-book supporting different consumption modes. Additionally, the e-book system stores signposts for the e-book. The signposts include corresponding locations in different versions of the e-book. When a user switches from a first version to a second version, the e-book system determines based on the signposts a location in the second version of the e-book that corresponds to the current location in the first version. The e-book system then presents the content in the second version from the determined location.

Abstract translation: 电子书系统接收并存储支持不同消费模式的电子书的不同版本。 此外，电子书系统存储电子书的路标。 路标包括电子书不同版本中的相应位置。 当用户从第一版本切换到第二版本时，电子书系统基于路标确定电子书的第二版本中与第一版本中的当前位置相对应的位置。 然后，电子书系统从确定的位置呈现第二版本中的内容。

公开(公告)号：US08811742B2

公开(公告)日：2014-08-19

申请号：US13309471

申请日：2011-12-01

Applicant: David Petrou ,  Ashok C. Popat ,  Matthew R. Casey

Inventor： David Petrou ,  Ashok C. Popat ,  Matthew R. Casey

IPC: G06K9/62

CPC classification number: G06K9/00456 ,  G06F17/30011 ,  G06F17/30253 ,  G06F17/30864 ,  G06K9/036 ,  G06K9/72 ,  G06K2209/01

Abstract: A server system receives a visual query from a client system, performs optical character recognition (OCR) on the visual query to produce text recognition data representing textual characters, including a plurality of textual characters in a contiguous region of the visual query. The server system also produces structural information associated with the textual characters in the visual query. Textual characters in the plurality of textual characters are scored. The method further includes identifying, in accordance with the scoring, one or more high quality textual strings, each comprising a plurality of high quality textual characters from among the plurality of textual characters in the contiguous region of the visual query. A canonical document that includes the one or more high quality textual strings and that is consistent with the structural information is retrieved. At least a portion of the canonical document is sent to the client system.

Abstract translation: 服务器系统从客户端系统接收视觉查询，在视觉查询上执行光学字符识别（OCR），以产生表示文本字符的文本识别数据，包括视觉查询的连续区域中的多个文本字符。 服务器系统还产生与视觉查询中的文本字符相关联的结构信息。 对多个文字进行文字处理。 该方法还包括根据评分识别一个或多个高质量的文本字符串，每个文本字符串包括来自视觉查询的连续区域中的多个文本字符中的多个高质量文本字符。 检索包含一个或多个高质量文本字符串并与结构信息一致的规范文档。 规范文件的至少一部分被发送到客户端系统。

公开(公告)号：US20130188886A1

公开(公告)日：2013-07-25

申请号：US13693665

申请日：2012-12-04

Applicant: David Petrou ,  Matthew Bridges ,  Shailesh Nalawadi ,  Hartwig Adam ,  Matthew R. Casey ,  Hartmut Neven ,  Andrew Harp

Inventor： David Petrou ,  Matthew Bridges ,  Shailesh Nalawadi ,  Hartwig Adam ,  Matthew R. Casey ,  Hartmut Neven ,  Andrew Harp

IPC: G06F17/30

CPC classification number: G06F17/30256 ,  G06F3/048 ,  G06F17/30244 ,  G06F17/30253 ,  G06F17/30867 ,  G06K9/00671 ,  G06K9/00993 ,  G06K9/228 ,  G06K9/3258 ,  G06K9/4652 ,  G06K9/6271 ,  G06K9/78 ,  H04N5/225

Abstract: A system and method of identifying objects is provided. In one aspect, the system and method includes a hand-held device with a display, camera and processor. As the camera captures images and displays them on the display, the processor compares the information retrieved in connection with one image with information retrieved in connection with subsequent images. The processor uses the result of such comparison to determine the object that is likely to be of greatest interest to the user. The display simultaneously displays the images the images as they are captured, the location of the object in an image, and information retrieved for the object.

公开(公告)号：US09053350B1

公开(公告)日：2015-06-09

申请号：US13619853

申请日：2012-09-14

Applicant: Ahmad E. Abdulkader ,  Matthew R. Casey

Inventor： Ahmad E. Abdulkader ,  Matthew R. Casey

IPC: G06K9/00 ,  G06K9/62 ,  G06K9/03

CPC classification number: G06K9/00 ,  G06K9/033 ,  G06K9/685 ,  G06K2209/01

Abstract: OCR errors are identified and corrected through learning. An error probability estimator is trained using ground truths to learn error probability estimation. Multiple OCR engines process a text image, and convert it into texts. The error probability estimator compares the outcomes of the multiple OCR engines for mismatches, and determines an error probability for each of the mismatches. If the error probability of a mismatch exceeds an error probability threshold, a suspect is generated and grouped together with similar suspects in a cluster. A question for the cluster is generated and rendered to a human operator for answering. The answer from the human operator is then applied to all suspects in the cluster to correct OCR errors in the resulting text. The answer is also used to further train the error probability estimator.

Abstract translation: 通过学习识别和纠正OCR错误。 使用地面真值训练误差概率估计器来学习误差概率估计。 多个OCR引擎处理文本图像，并将其转换为文本。 误差概率估计器比较多个OCR引擎的不匹配结果，并确定每个错配的错误概率。 如果不匹配的错误概率超过错误概率阈值，则生成一个疑犯并将其与群集中的类似嫌疑人分组。 生成集群的问题并将其呈现给操作人员进行应答。 然后将人类操作员的答案应用于群集中的所有疑犯，以纠正所得文本中的OCR错误。 答案也用于进一步训练误差概率估计器。

公开(公告)号：US20130212454A1

公开(公告)日：2013-08-15

申请号：US13372336

申请日：2012-02-13

Applicant: Matthew R. Casey

Inventor： Matthew R. Casey

IPC: G06F17/00

CPC classification number: G06F17/2288 ,  G06F17/22 ,  G06F17/30 ,  G06F17/30011 ,  G06F17/30876 ,  G06Q10/10 ,  G06Q2220/10

Abstract: An e-book system receives and stores different versions of an e-book supporting different consumption modes. Additionally, the e-book system stores signposts for the e-book. The signposts include corresponding locations in different versions of the e-book. When a user switches from a first version to a second version, the e-book system determines based on the signposts a location in the second version of the e-book that corresponds to the current location in the first version. The e-book system then presents the content in the second version from the determined location.

公开(公告)号：US08331739B1

公开(公告)日：2012-12-11

申请号：US12357367

申请日：2009-01-21

Applicant: Ahmad Abdulkader ,  Matthew R. Casey

Inventor： Ahmad Abdulkader ,  Matthew R. Casey

IPC: G06K9/00 ,  G06K9/62 ,  G06K9/34 ,  G06K9/03 ,  G06K7/10 ,  G06K1/00 ,  G06K15/02 ,  G06F17/30 ,  G06F7/00 ,  G06F17/28 ,  G06F15/00 ,  H04N1/40 ,  G06F17/00 ,  G06F17/20 ,  G06F17/21 ,  G06F17/22 ,  G06F17/24 ,  G06F17/25 ,  G06F17/26 ,  G06F17/27

CPC classification number: G06K9/00 ,  G06K9/033 ,  G06K9/685 ,  G06K2209/01

Abstract: OCR errors are identified and corrected through learning. An error probability estimator is trained using ground truths to learn error probability estimation. Multiple OCR engines process a text image, and convert it into texts. The error probability estimator compares the outcomes of the multiple OCR engines for mismatches, and determines an error probability for each of the mismatches. If the error probability of a mismatch exceeds an error probability threshold, a suspect is generated and grouped together with similar suspects in a cluster. A question for the cluster is generated and rendered to a human operator for answering. The answer from the human operator is then applied to all suspects in the cluster to correct OCR errors in the resulting text. The answer is also used to further train the error probability estimator.

Abstract translation: 通过学习识别和纠正OCR错误。 使用地面真值训练误差概率估计器来学习误差概率估计。 多个OCR引擎处理文本图像，并将其转换为文本。 误差概率估计器比较多个OCR引擎的不匹配结果，并确定每个错配的错误概率。 如果不匹配的错误概率超过错误概率阈值，则生成一个疑犯并将其与群集中的类似嫌疑人分组。 生成集群的问题并将其呈现给操作人员进行应答。 然后将人类操作员的答案应用于群集中的所有疑犯，以纠正所得文本中的OCR错误。 答案也用于进一步训练误差概率估计器。

公开(公告)号：US20120134590A1

公开(公告)日：2012-05-31

申请号：US13309484

申请日：2011-12-01

Applicant: David Petrou ,  Ashok C. Popat ,  Matthew R. Casey

Inventor： David Petrou ,  Ashok C. Popat ,  Matthew R. Casey

IPC: G06K9/18

CPC classification number: G06F17/3087 ,  G06F17/30253 ,  G06K9/00483 ,  G06K9/72 ,  G06K2209/01

Abstract: A server system receives a visual query from a client system distinct from the server system. The server system performs optical character recognition (OCR) on the visual query to produce text recognition data representing textual characters, including a plurality of textual characters in a contiguous region of the visual query. The server system scores each textual character in the plurality of textual characters in accordance with the geographic location of the client system. The server system identifies, in accordance with the scoring, one or more high quality textual strings, each comprising a plurality of high quality textual characters from among the plurality of textual characters in the contiguous region of the visual query. Then the server system retrieves a canonical document having the one or more high quality textual strings and sends at least a portion of the canonical document to the client system.

Abstract translation: 服务器系统从与服务器系统不同的客户端系统接收可视化查询。 服务器系统在视觉查询上执行光学字符识别（OCR）以产生表示文本字符的文本识别数据，包括视觉查询的连续区域中的多个文本字符。 服务器系统根据客户端系统的地理位置对多个文本字符中的每个文本字符进行分数。 服务器系统根据评分识别一个或多个高质量的文本字符串，每个文本字符串包括来自视觉查询的连续区域中的多个文本字符中的多个高质量文本字符。 然后，服务器系统检索具有一个或多个高质量文本字符串的规范文档，并将规范文档的至少一部分发送给客户端系统。

公开(公告)号：US08977639B2

公开(公告)日：2015-03-10

申请号：US12854793

申请日：2010-08-11

Applicant: David Petrou ,  Avi Flamholz ,  Matthew R. Casey ,  Theodore Power

Inventor： David Petrou ,  Avi Flamholz ,  Matthew R. Casey ,  Theodore Power

IPC: G06F17/30

CPC classification number: G06F17/30861

Abstract: A server system receives a visual query and identifies an entity in the visual query. The server system further identifies a client-side action corresponding to the identified entity and creates an actionable search result element configured to launch the client-side action. Examples of actionable search result elements are buttons to initiate a telephone call, to initiate email message, to map an address, to make a restaurant reservation, and to provide an option to purchase a product. The entity identified in the visual query may be indirectly associated with a client-side action whose contact address or appropriate link is found in a search result associated with the identified entity. The client system receives and displays the actionable search result element, and upon a user selection of the actionable search result element, launches the client-side action in an application distinct from the visual query client application.

Abstract translation: 服务器系统接收可视化查询并识别视觉查询中的实体。 服务器系统还识别与所识别的实体相对应的客户端动作，并创建配置成启动客户端动作的可操作的搜索结果元素。 可操作的搜索结果元素的示例是发起电话呼叫，发起电子邮件消息，映射地址，进行餐厅预约以及提供购买产品的选项的按钮。 在视觉查询中标识的实体可以间接地与客户端动作间接地相关联，其联系人地址或适当链接在与所识别的实体相关联的搜索结果中找到。 客户端系统接收并显示可操作的搜索结果元素，并且在用户选择可操作搜索结果元素时，在不同于视觉查询客户端应用的应用中启动客户端操作。

公开(公告)号：US08832804B1

公开(公告)日：2014-09-09

申请号：US13204390

申请日：2011-08-05

Applicant: Matthew R. Casey ,  Girts Folkmanis ,  John Mishanski

Inventor： Matthew R. Casey ,  Girts Folkmanis ,  John Mishanski

IPC: G06F21/00

CPC classification number: G06F21/31

Abstract: A computer implemented system and method are provided for password pre-verification on the client side in client-server applications. An example system comprises a translation module configured to translate user input, in the form of a character string that can represent a password, to obtain a symbolic representation of the user input. The example system also comprises an output module configured to receive the symbolic representation from the translation module and, based on the user input, provide output to the user in the form of visual, audio or haptic cues. Such cues can alert a user as to whether or not the input character string is correctly entered. In a further example embodiment, a system can further comprise a comparison module configured to compare an existing symbolic representation with the symbolic representation generated from the user input by the translation module.

Abstract translation: 提供了一种计算机实现的系统和方法，用于在客户端 - 服务器应用程序中的客户端进行密码预验证。 示例系统包括翻译模块，其被配置为以可以表示密码的字符串的形式翻译用户输入，以获得用户输入的符号表示。 示例系统还包括被配置为从翻译模块接收符号表示并且基于用户输入以视觉，音频或触觉提示的形式向用户提供输出的输出模块。 这样的提示可以提醒用户输入字符串是否被正确输入。 在另一示例性实施例中，系统还可以包括比较模块，其被配置为将现有符号表示与由所述翻译模块的用户输入生成的符号表示进行比较。

公开(公告)号：US08805079B2

公开(公告)日：2014-08-12

申请号：US13309484

申请日：2011-12-01

Applicant: David Petrou ,  Ashok C. Popat ,  Matthew R. Casey

Inventor： David Petrou ,  Ashok C. Popat ,  Matthew R. Casey

IPC: G06K9/62

CPC classification number: G06F17/3087 ,  G06F17/30253 ,  G06K9/00483 ,  G06K9/72 ,  G06K2209/01

Abstract: A server system receives a visual query from a client system distinct from the server system. The server system performs optical character recognition (OCR) on the visual query to produce text recognition data representing textual characters, including a plurality of textual characters in a contiguous region of the visual query. The server system scores each textual character in the plurality of textual characters in accordance with the geographic location of the client system. The server system identifies, in accordance with the scoring, one or more high quality textual strings, each comprising a plurality of high quality textual characters from among the plurality of textual characters in the contiguous region of the visual query. Then the server system retrieves a canonical document having the one or more high quality textual strings and sends at least a portion of the canonical document to the client system.

Abstract translation: 服务器系统从与服务器系统不同的客户端系统接收可视化查询。 服务器系统在视觉查询上执行光学字符识别（OCR）以产生表示文本字符的文本识别数据，包括视觉查询的连续区域中的多个文本字符。 服务器系统根据客户端系统的地理位置对多个文本字符中的每个文本字符进行分数。 服务器系统根据评分识别一个或多个高质量的文本字符串，每个文本字符串包括来自视觉查询的连续区域中的多个文本字符中的多个高质量文本字符。 然后，服务器系统检索具有一个或多个高质量文本字符串的规范文档，并将规范文档的至少一部分发送给客户端系统。