Systems and methods for prioritizing notifications on mobile devices

    公开(公告)号:US09817869B2

    公开(公告)日:2017-11-14

    申请号:US14258996

    申请日:2014-04-22

    Applicant: Google Inc.

    Abstract: Certain embodiments of the disclosed technology include systems and methods for determining the priority of a notification on a mobile device using machine learning. Other aspects of the disclosed technology include selectively displaying notifications based on the priority of a notification. According to an embodiment of the disclosed technology, a computer-implement method is provided that comprises outputting, to a display device operatively coupled to a mobile device, a plurality of notifications, wherein each respective notification from the plurality of notifications is associated with a respective priority score; modifying, by the mobile device, a ranking model based on a user input received responsive to a first notification from the plurality of notifications and a characteristic of a second notification from the plurality of notifications; determining, by the mobile device, a priority score associated with a third notification based on the modified ranking model; and outputting, to the display device, the third notification based on the priority score associated with the third notification, wherein the third notification is graphically emphasized responsive to the priority score associated with the third notification being greater than at least one respective priority score associated with a corresponding respective notification from the plurality of notifications.

    SYSTEMS AND METHODS FOR DETERMINING MOTION SALIENCY
    2.
    发明申请
    SYSTEMS AND METHODS FOR DETERMINING MOTION SALIENCY 有权
    用于确定运动密度的系统和方法

    公开(公告)号:US20150117707A1

    公开(公告)日:2015-04-30

    申请号:US14228273

    申请日:2014-03-28

    Applicant: Google Inc.

    Abstract: Techniques for determining motion saliency in video content using center-surround receptive fields. In some implementations, images or frames from a video may be apportioned into non-overlapped regions, for example, by applying a rectilinear grid. For each grid region, or cell, motion consistency may be measured between the center and surround area of that cell across frames of the video. Consistent motion across the center-surround area may indicate that the corresponding region has low variation. The larger the difference between center-surround motions in a cell, the more likely the region has high motion saliency.

    Abstract translation: 用于使用中心环绕接收场来确定视频内容中的运动显着性的技术。 在一些实现中,来自视频的图像或帧可以例如通过应用直线网格而被分配到非重叠区域中。 对于每个网格区域或单元格,可以在视频的帧之间的该单元的中心区域和环绕区域之间测量运动一致性。 穿过中心环绕区域的一致运动可以指示对应的区域具有低的变化。 细胞中心环绕运动之间的差异越大,该区域的运动显着性就越高。

    Systems and methods for determining motion saliency
    3.
    发明授权
    Systems and methods for determining motion saliency 有权
    确定运动显着性的系统和方法

    公开(公告)号:US09208573B2

    公开(公告)日:2015-12-08

    申请号:US14228273

    申请日:2014-03-28

    Applicant: Google Inc.

    Abstract: Techniques for determining motion saliency in video content using center-surround receptive fields. In some implementations, images or frames from a video may be apportioned into non-overlapped regions, for example, by applying a rectilinear grid. For each grid region, or cell, motion consistency may be measured between the center and surround area of that cell across frames of the video. Consistent motion across the center-surround area may indicate that the corresponding region has low variation. The larger the difference between center-surround motions in a cell, the more likely the region has high motion saliency.

    Abstract translation: 用于使用中心环绕接收场来确定视频内容中的运动显着性的技术。 在一些实现中,来自视频的图像或帧可以例如通过应用直线网格而被分配到非重叠区域中。 对于每个网格区域或单元格,可以在视频的帧之间的该单元的中心区域和环绕区域之间测量运动一致性。 穿过中心环绕区域的一致运动可以指示对应的区域具有低的变化。 细胞中心环绕运动之间的差异越大,该区域的运动显着性就越高。

    Video content claiming classifier
    4.
    发明授权
    Video content claiming classifier 有权
    视频内容声明分类器

    公开(公告)号:US09098807B1

    公开(公告)日:2015-08-04

    申请号:US14206685

    申请日:2014-03-12

    Applicant: Google Inc.

    CPC classification number: G06N5/022 G06Q30/0201 G06Q30/0241 G06Q30/0251

    Abstract: A video hosting service comprising video classifiers that identify content sources of content included in videos uploaded to the video hosting service. Identifying the content source allows a content owner of the content source to claim ownership of videos that include content based on the content source. Usage policies associated with the content owners are applied to the uploaded videos that describe how the video hosting service is to treat the videos.

    Abstract translation: 一种视频托管服务,包括视频分类器,其识别上传到视频托管服务的视频中的内容的内容源。 识别内容源允许内容来源的内容所有者声称基于内容源包含内容的视频的所有权。 与内容所有者相关联的使用政策适用于上传的视频,描述视频托管服务如何对待视频。

    SYSTEMS AND METHODS FOR PRIORITIZING NOTIFICATIONS ON MOBILE DEVICES
    5.
    发明申请
    SYSTEMS AND METHODS FOR PRIORITIZING NOTIFICATIONS ON MOBILE DEVICES 有权
    移动设备通知通知系统及方法

    公开(公告)号:US20140229880A1

    公开(公告)日:2014-08-14

    申请号:US14258996

    申请日:2014-04-22

    Applicant: Google Inc.

    Abstract: Certain embodiments of the disclosed technology include systems and methods for determining the priority of a notification on a mobile device using machine learning. Other aspects of the disclosed technology include selectively displaying notifications based on the priority of a notification. According to an embodiment of the disclosed technology, a computer-implement method is provided that comprises outputting, to a display device operatively coupled to a mobile device, a plurality of notifications, wherein each respective notification from the plurality of notifications is associated with a respective priority score; modifying, by the mobile device, a ranking model based on a user input received responsive to a first notification from the plurality of notifications and a characteristic of a second notification from the plurality of notifications; determining, by the mobile device, a priority score associated with a third notification based on the modified ranking model; and outputting, to the display device, the third notification based on the priority score associated with the third notification, wherein the third notification is graphically emphasized responsive to the priority score associated with the third notification being greater than at least one respective priority score associated with a corresponding respective notification from the plurality of notifications.

    Abstract translation: 所公开技术的某些实施例包括用于使用机器学习确定移动设备上的通知的优先级的系统和方法。 所公开技术的其他方面包括基于通知的优先级选择性地显示通知。 根据所公开的技术的实施例,提供了一种计算机实现方法,其包括向可操作地耦合到移动设备的显示设备输出多个通知,其中来自所述多个通知的每个相应的通知与相应的 优先分数 由所述移动设备修改基于响应于来自所述多个通知的第一通知接收到的用户输入和来自所述多个通知的第二通知的特征的排序模型; 基于所述修改的排序模型,由所述移动设备确定与第三通知相关联的优先级得分; 以及基于与所述第三通知相关联的优先级得分将所述第三通知输出到所述显示设备,其中所述第三通知响应于与所述第三通知相关联的优先级得分大于至少一个与 来自多个通知的对应的相应通知。

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