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公开(公告)号：US10346411B1
公开(公告)日：2019-07-09
申请号：US13831481
申请日：2013-03-14
Applicant: Google Inc.
Inventor： Thomas Deselaers , Daniel Martin Keysers
IPC: G06F16/2457
Abstract: A method includes receiving from a user a message for sharing with others, identifying message attributes of the received message, the message attributes comprising message content, identifying a group of recipients with whom the user has previously interacted, computing a relevance score for each recipient in the group of recipients, ranking each recipient in the group of recipients according to the relevance score and determining one or more target recipients for the received message from the group of target recipients ranked according to the relevance score, the determined target recipients having a ranking within a predetermined threshold of highest relevance scores.
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公开(公告)号：US09594488B2
公开(公告)日：2017-03-14
申请号：US14104665
申请日：2013-12-12
Applicant: Google Inc.
Inventor： Thomas Deselaers , Daniel Martin Keysers
IPC: G06F3/048 , G06F3/0484 , G06F3/01 , G06F3/0482 , G06T1/00
CPC classification number: G06F3/04845 , G06F3/013 , G06F3/0482 , G06T1/00
Abstract: Implementations generally relate to providing an interactive display of high dynamic range images. In some implementations, a method includes receiving a plurality of images of a scene, where the images are captured at different exposure levels. The method further includes generating a high dynamic range image of the scene based on brightness level information associated with each portion of the scene. The method further includes providing a user interface that displays the high dynamic range image. The method further includes adjusting a brightness level of at least one portion of the high dynamic range image based on user interaction with the user interface.
Abstract translation: 实现通常涉及提供高动态范围图像的交互式显示。 在一些实现中，一种方法包括接收场景的多个图像，其中以不同的曝光水平捕获图像。 该方法还包括基于与场景的每个部分相关联的亮度级别信息来生成场景的高动态范围图像。 该方法还包括提供显示高动态范围图像的用户界面。 该方法还包括基于与用户界面的用户交互来调整高动态范围图像的至少一部分的亮度水平。
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公开(公告)号：US09224038B2
公开(公告)日：2015-12-29
申请号：US14107007
申请日：2013-12-16
Applicant: Google Inc.
Inventor： Daniel Martin Keysers , Thomas Deselaers , Henry Allan Rowley
IPC: G06K9/00
CPC classification number: G06K9/00422 , G06K9/00 , G06K9/00402 , G06K9/52 , G06K2209/01
Abstract: An optimal recognition for handwritten input based on receiving a touch input from a user may be selected by applying both a delayed stroke recognizer as well as an overlapping recognizer to the handwritten input. A score may be generated for both the delayed stroke recognition as well as the overlapping recognition and the recognition corresponding to the highest score may be presented as the overall recognition.
Abstract translation: 可以通过将延迟的笔画识别器以及重叠识别器同时应用于手写输入来选择基于从用户接收触摸输入的手写输入的最佳识别。 可以为延迟的卒中识别以及重叠识别生成分数，并且对应于最高分数的识别可以被呈现为整体识别。
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公开(公告)号：US10402734B2
公开(公告)日：2019-09-03
申请号：US14836113
申请日：2015-08-26
Applicant: Google Inc.
Inventor： Thomas Deselaers , Daniel Martin Keysers , Abraham Murray , Shumin Zhai
IPC: G06K9/00 , G06N5/04 , G06F3/0488 , G06F3/023
Abstract: A computing device is described that receives first input, at an initial time, of a first textual character and a second input, at a subsequent time, of a second textual character. The computing device determines, based on the first and second textual characters, a first character sequence that does not include a space character between the first and second textual characters and a second character sequence that includes the space character between the first and second textual characters. The computing device determines a first score associated with the first character sequence and a second score associated with the second character sequence. The computing device adjusts, based on a duration of time between the initial and subsequent times, the second score to determine a third score, and responsive to determining that the third score exceeds the first score, the computing device outputs the second character sequence.
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公开(公告)号：US20150169949A1
公开(公告)日：2015-06-18
申请号：US14106893
申请日：2013-12-16
Applicant: GOOGLE INC.
Inventor： Daniel Martin Keysers , Thomas Deselaers , Henry Allan Rowley
IPC: G06K9/00
CPC classification number: G06K9/00416 , G06K9/344 , G06K2209/013
Abstract: Methods and systems for recognizing Devanagari script handwriting are provided. A method may include receiving a handwritten input and determining that the handwritten input comprises a shirorekha stroke based on one or more shirorekha detection criteria. Shirorekha detection criteria may be at least one criterion such as a length of the shirorekha stroke, a horizontality of the shirorekha stroke, a straightness of the shirorekha stroke, a position in time at which the shirorekha stroke is made in relation to one or more other strokes in the handwritten input, and the like. Next, one or more recognized characters may be provided corresponding to the handwritten input.
Abstract translation: 提供了识别梵文脚本手写的方法和系统。 方法可以包括接收手写输入并且基于一个或多个shirorekha检测标准确定手写输入包括shirorekha笔划。 Shirorekha检测标准可以是至少一个标准，例如shirorekha中风的长度，shirorekha中风的水平度，shirorekha中风的平直度，相对于一个或多个其他的shirorekha中风的时间位置 手写输入中的笔画等。 接下来，可以对应于手写输入提供一个或多个识别的字符。
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Patent Agency Ranking
公开(公告)号：US20180137400A1
公开(公告)日：2018-05-17
申请号：US15349037
申请日：2016-11-11
Applicant: Google Inc.
Inventor： Thomas Deselaers , Victor Carbune , Pedro Gonnet Anders , Daniel Martin Keysers
CPC classification number: G06N3/0445
Abstract: The present disclosure provides systems and methods that leverage machine-learned models (e.g., neural networks) to provide enhanced communication assistance. In particular, the systems and methods of the present disclosure can include or otherwise leverage a machine-learned communication assistance model to detect problematic statements included in a communication and/or provide suggested replacement statements to respectively replace the problematic statements. In one particular example, the communication assistance model can include a long short-term memory recurrent neural network that detects an inappropriate tone or unintended meaning within a user-composed communication and provides one or more suggested replacement statements to replace the problematic statements.
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公开(公告)号：US20170061291A1
公开(公告)日：2017-03-02
申请号：US14836113
申请日：2015-08-26
Applicant: Google Inc.
Inventor： Thomas Deselaers , Daniel Martin Keysers , Abraham Murray , Shumin Zhai
IPC: G06N5/04 , G06F3/0488 , G06K9/00
CPC classification number: G06N5/04 , G06F3/0237 , G06F3/04883 , G06F3/04886 , G06K9/00402
Abstract: A computing device is described that receives first input, at an initial time, of a first textual character and a second input, at a subsequent time, of a second textual character. The computing device determines, based on the first and second textual characters, a first character sequence that does not include a space character between the first and second textual characters and a second character sequence that includes the space character between the first and second textual characters. The computing device determines a first score associated with the first character sequence and a second score associated with the second character sequence. The computing device adjusts, based on a duration of time between the initial and subsequent times, the second score to determine a third score, and responsive to determining that the third score exceeds the first score, the computing device outputs the second character sequence.
Abstract translation: 描述了在初始时间接收第二文本字符的第一文本字符和第二输入的第二输入的计算设备。 计算设备基于第一和第二文本字符确定不包括第一和第二文本字符之间的空格字符的第一字符序列和包括第一和第二文本字符之间的空格字符的第二字符序列。 计算设备确定与第一字符序列相关联的第一得分和与第二字符序列相关联的第二分数。 计算设备基于初始和随后时间之间的持续时间来调整第二分数以确定第三分数，并且响应于确定第三分数超过第一分数，计算设备输出第二字符序列。
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公开(公告)号：US09536180B2
公开(公告)日：2017-01-03
申请号：US14142967
申请日：2013-12-30
Applicant: Google Inc.
Inventor： Thomas Deselaers , Daniel Martin Keysers , Dmitriy Genzel , Ashok Chhabedia Popat
CPC classification number: G06K9/723 , G06F17/22 , G06K2209/013
Abstract: Methods and systems for grapheme splitting of text input for recognition are provided. A method may include receiving a text input in a script and segmenting the text input into one or more graphemes. Each of the one or more graphemes may be split into one or more recognition units based on one or more recognition unit identification criteria associated with the script. Next, a text recognition system may be trained using the recognition units. Text input may be handwritten text input received from a user or a scanned image of text.
Abstract translation: 提供了用于识别文本输入的图形分割的方法和系统。 方法可以包括在脚本中接收文本输入并将文本输入分割成一个或多个字形。 基于与脚本相关联的一个或多个识别单元识别标准，一个或多个字形中的每一个可以被分割成一个或多个识别单元。 接下来，可以使用识别单元来训练文本识别系统。 文本输入可以是从用户接收的手写文本输入或文本的扫描图像。
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公开(公告)号：US09699597B2
公开(公告)日：2017-07-04
申请号：US14961803
申请日：2015-12-07
Applicant: GOOGLE INC.
Inventor： Thomas Deselaers , Daniel Martin Keysers , Stephan Robert Gammeter , Matthew Sharifi
CPC classification number: H04W4/80 , G06Q20/3278 , H04B5/0031 , H04W40/244
Abstract: Forwarding wireless signals comprises a user and a counterpart opening secure applications on a user computing device and a counterpart computing device, respectively. The user places the user computing device within range of a wireless signal, such as a wireless signal provided by a point of sale (“POS”) terminal. The user computing device forwards the wireless signal from the POS terminal to the counterpart computing device. The user computing device forwards the wireless signal from the counterpart computing device to the POS terminal. Thus, the counterpart computing device may conduct a transaction with the POS terminal as if the counterpart computing device were at the location of the POS terminal. The counterpart computing device may also receive a forwarded beacon signal comprising data, such as an offer, provided by the POS terminal or another suitable beacon transmission device at the merchant location.
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公开(公告)号：US20170164139A1
公开(公告)日：2017-06-08
申请号：US14961803
申请日：2015-12-07
Applicant: GOOGLE INC.
Inventor： Thomas Deselaers , Daniel Martin Keysers , Stephan Robert Gammeter , Matthew Sharifi
CPC classification number: H04W4/80 , G06Q20/3278 , H04B5/0031 , H04W40/244
Abstract: Forwarding wireless signals comprises a user and a counterpart opening secure applications on a user computing device and a counterpart computing device, respectively. The user places the user computing device within range of a wireless signal, such as a wireless signal provided by a point of sale (“POS”) terminal. The user computing device forwards the wireless signal from the POS terminal to the counterpart computing device. The user computing device forwards the wireless signal from the counterpart computing device to the POS terminal. Thus, the counterpart computing device may conduct a transaction with the POS terminal as if the counterpart computing device were at the location of the POS terminal. The counterpart computing device may also receive a forwarded beacon signal comprising data, such as an offer, provided by the POS terminal or another suitable beacon transmission device at the merchant location.
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