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    Drag-and-drop on a mobile device
    41.
    发明授权
    Drag-and-drop on a mobile device 有权

    公开(公告)号：US09606716B2

    公开(公告)日：2017-03-28

    申请号：US14522927

    申请日：2014-10-24

    Applicant: GOOGLE INC.

    Inventor： Matthew Sharifi ,  David Petrou

    IPC: G06F3/0486 ,  G06F3/16 ,  G06F9/54 ,  G06F3/0484 ,  G06F3/0488

    CPC classification number: G06F3/0486 ,  G06F3/04842 ,  G06F3/0488 ,  G06F3/04883 ,  G06F3/167 ,  G06F9/543 ,  G06F2203/04803

    Abstract: Implementations provide an improved drag-and-drop operation on a mobile device. For example, a method includes identifying a drag area in a user interface of a first mobile application in response to a drag command, identifying an entity from a data store based on recognition performed on content in the drag area, receiving a drop location associated with a second mobile application, determining an action to perform in the second mobile application based on the drop location, and performing the action in the second mobile action using the entity. Another method may include receiving a selection of a smart copy control for a text input control in a first mobile application, receiving a selected area of a display generated by a second mobile application, identifying an entity in the selected area, automatically navigating back to the text input control, and pasting a description of the entity in the text input control.

    Session-based character recognition for document reconstruction
    45.
    发明授权
    Session-based character recognition for document reconstruction 有权
    基于会话的文字重建字符识别

    公开(公告)号：US09424668B1

    公开(公告)日：2016-08-23

    申请号：US14532692

    申请日：2014-11-04

    Applicant: GOOGLE INC.

    Inventor： David Petrou ,  Krishnendu Chaudhury ,  Sergiu Goschin ,  Matthew John Bridges

    IPC: G06T11/20 ,  G06T11/60

    CPC classification number: G06T11/206 ,  G06K9/00442 ,  G06T11/60

    Abstract: Systems and methods are provided for sharing a screen from a mobile device. For example, a method includes receiving an image from a mobile device, performing recognition on the image to identify space-delimited strings, and generating a content graph for the image, the content graph having content nodes that represent at least some of the strings and the content graph having edges that represent a relative position of strings associated with the content nodes connected by the edges. The method may also include repeating the receiving, performing recognition, and generating for a plurality of images, the plurality of images belonging to a session, and generating a combined graph from the plurality of content graphs based on similarity of content nodes between content graphs, the combined graph representing text from the plurality of images in reading order.

    Abstract translation: 提供了用于从移动设备共享屏幕的系统和方法。 例如，一种方法包括从移动设备接收图像，对图像执行识别以识别空格分隔的字符串，以及生成图像的内容图形，内容图表具有表示至少一些字符串的内容节点，以及 内容图具有表示与由边缘连接的内容节点相关联的字符串的相对位置的边。 该方法还可以包括重复对属于会话的多个图像的多个图像的接收，执行识别和生成，并且基于内容图形之间的内容节点的相似度从多个内容图形生成组合图， 组合图表示以读取顺序来自多个图像的文本。

    Identifying textual terms in response to a visual query
    46.
    发明授权
    Identifying textual terms in response to a visual query 有权

    公开(公告)号：US09372920B2

    公开(公告)日：2016-06-21

    申请号：US14596081

    申请日：2015-01-13

    Applicant: Google Inc.

    Inventor： Samy Bengio ,  David Petrou

    IPC: G06F7/00 ,  G06F17/30

    CPC classification number: G06F17/30696 ,  G06F17/30268 ,  G06F17/30277 ,  G06F17/30663

    Abstract: A method, system, and computer readable storage medium is provided for identifying textual terms in response to a visual query is provided. A server system receives a visual query from a client system. The visual query is responded to as follows. A set of image feature values for the visual query is generated. The set of image feature values is mapped to a plurality of textual terms, including a weight for each of the textual terms in the plurality of textual terms. The textual terms are ranked in accordance with the weights of the textual terms. Then, in accordance with the ranking the textual terms, one or more of the ranked textual terms are sent to the client system.

    DRAG-AND-DROP ON A MOBILE DEVICE
    47.
    发明申请
    DRAG-AND-DROP ON A MOBILE DEVICE 有权
    DRAG-AND DROP在移动设备上

    公开(公告)号：US20160117072A1

    公开(公告)日：2016-04-28

    申请号：US14522927

    申请日：2014-10-24

    Applicant: GOOGLE INC.

    Inventor： Matthew Sharifi ,  David Petrou

    IPC: G06F3/0486 ,  G06F3/0484 ,  G06F3/0488

    CPC classification number: G06F3/0486 ,  G06F3/04842 ,  G06F3/0488 ,  G06F3/04883 ,  G06F3/167 ,  G06F9/543 ,  G06F2203/04803

    Abstract: Implementations provide an improved drag-and-drop operation on a mobile device. For example, a method includes identifying a drag area in a user interface of a first mobile application in response to a drag command, identifying an entity from a data store based on recognition performed on content in the drag area, receiving a drop location associated with a second mobile application, determining an action to perform in the second mobile application based on the drop location, and performing the action in the second mobile action using the entity. Another method may include receiving a selection of a smart copy control for a text input control in a first mobile application, receiving a selected area of a display generated by a second mobile application, identifying an entity in the selected area, automatically navigating back to the text input control, and pasting a description of the entity in the text input control.

    Abstract translation: 实现方式可以在移动设备上提供改进的拖放操作。 例如，一种方法包括响应于拖曳命令识别第一移动应用的用户界面中的拖曳区域，基于对拖曳区域中的内容执行的识别从数据存储区识别实体，接收与 第二移动应用，基于所述丢弃位置确定在所述第二移动应用中执行的动作，以及使用所述实体在所述第二移动动作中执行所述动作。 另一种方法可以包括接收对第一移动应用中的文本输入控制的智能复制控制的选择，接收由第二移动应用生成的显示的选定区域，识别所选区域中的实体，自动导航回到 文本输入控件，并在文本输入控件中粘贴实体的描述。

    Facial recognition with social network aiding
    48.
    发明授权
    Facial recognition with social network aiding 有权
    社交网络辅助的面部识别

    公开(公告)号：US09208177B2

    公开(公告)日：2015-12-08

    申请号：US14185392

    申请日：2014-02-20

    Applicant: Google Inc.

    Inventor： David Petrou ,  Andrew Rabinovich ,  Hartwig Adam

    IPC: G06F7/00 ,  G06K9/00 ,  G06F17/30

    CPC classification number: G06F17/30268 ,  G06F17/30256 ,  G06F17/30277 ,  G06F17/3053 ,  G06F17/30867 ,  G06K9/00288 ,  G06K9/00677

    Abstract: A facial recognition search system identifies one or more likely names (or other personal identifiers) corresponding to the facial image(s) in a query as follows. After receiving the visual query with one or more facial images, the system identifies images that potentially match the respective facial image in accordance with visual similarity criteria. Then one or more persons associated with the potential images are identified. For each identified person, person-specific data comprising metrics of social connectivity to the requester are retrieved from a plurality of applications such as communications applications, social networking applications, calendar applications, and collaborative applications. An ordered list of persons is then generated by ranking the identified persons in accordance with at least metrics of visual similarity between the respective facial image and the potential image matches and with the social connection metrics. Finally, at least one person identifier from the list is sent to the requester.

    Abstract translation: 面部识别搜索系统如下所述识别与查询中的面部图像相对应的一个或多个可能的名称（或其他个人标识符）。 在接收到具有一个或多个面部图像的视觉查询之后，系统根据视觉相似性标准识别潜在地匹配相应面部图像的图像。 然后识别与潜在图像相关联的一个或多个人。 对于每个已识别的人，从诸如通信应用，社交网络应用，日历应用和协作应用的多个应用中检索包括对请求者的社交连接性度量的个人特定数据。 然后通过根据相应的面部图像和潜在图像匹配之间的视觉相似性的度量以及与社会连接度量进行评估来对所识别的人进行排序来生成人的有序列表。 最后，从列表中至少有一个人标识符被发送到请求者。

    USING SENSOR INPUTS FROM A COMPUTING DEVICE TO DETERMINE SEARCH QUERY
    49.
    发明申请
    USING SENSOR INPUTS FROM A COMPUTING DEVICE TO DETERMINE SEARCH QUERY 审中-公开
    使用计算机设备的传感器输入来确定搜索查询

    公开(公告)号：US20150088923A1

    公开(公告)日：2015-03-26

    申请号：US14033794

    申请日：2013-09-23

    Applicant: Google Inc.

    Inventor： Laura Garcia-Barrio ,  David Petrou ,  Hartwig Adam

    IPC: G06F17/30

    CPC classification number: G06F16/583 ,  G06F16/243

    Abstract: An image input is obtained from a computing device when an image sensor of the computing device is directed to a scene. At least an object of interest in the scene is determined, and a label is determined for the object of interest. A search input is received from the computing device, where the search input is obtained from a mechanism other than the image sensor. An ambiguity is determined from the search input. A search query is determined that augments or replaces the ambiguity based at least in part on the label. A search result is based on the search query.

    Abstract translation: 当计算设备的图像传感器被引导到场景时，从计算设备获得图像输入。 至少确定场景中的感兴趣对象，并且为感兴趣对象确定标签。 从计算设备接收搜索输入，其中搜索输入是从图像传感器以外的机制获得的。 从搜索输入确定歧义。 确定至少部分地基于标签增加或替代歧义的搜索查询。 搜索结果基于搜索查询。

    Action suggestions for user-selected content
    50.
    发明授权
    Action suggestions for user-selected content 有权

    公开(公告)号：US10970646B2

    公开(公告)日：2021-04-06

    申请号：US14872582

    申请日：2015-10-01

    Applicant: GOOGLE INC.

    Inventor： Matthew Sharifi ,  Daniel Ramage ,  David Petrou

    IPC: G06N20/00 ,  G06F16/245 ,  G06F3/0481 ,  G06F9/451 ,  G06F3/0489 ,  G06F16/332 ,  G06F3/0482 ,  G06F3/0484 ,  G06N5/02

    Abstract: Systems and methods are provided for suggesting actions for selected text based on content displayed on a mobile device. An example method can include converting a selection made via a display device into a query, providing the query to an action suggestion model that is trained to predict an action given a query, each action being associated with a mobile application, receiving one or more predicted actions, and initiating display of the one or more predicted actions on the display device. Another example method can include identifying, from search records, queries where a website is highly ranked, the website being one of a plurality of websites in a mapping of websites to mobile applications. The method can also include generating positive training examples for an action suggestion model from the identified queries, and training the action suggestion model using the positive training examples.

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