Systems and methods for context-aware application control
    4.
    发明授权
    Systems and methods for context-aware application control 有权
    用于上下文感知应用程序控制的系统和方法

    公开(公告)号:US09459889B2

    公开(公告)日:2016-10-04

    申请号:US14712847

    申请日:2015-05-14

    CPC classification number: G06F9/4451 G06F3/0481 G06F9/466 G06F9/542

    Abstract: A method performed by an electronic device is described. The method includes obtaining sensor information. The method also includes identifying a class of an object based on the sensor information. The method further includes determining one or more actions based on the sensor information, the class of the object and an action usage history. The method additionally includes performing at least one of the one or more actions based on at least one application.

    Abstract translation: 描述由电子设备执行的方法。 该方法包括获取传感器信息。 该方法还包括基于传感器信息识别对象的类别。 该方法还包括基于传感器信息,对象的类别和动作使用历史确定一个或多个动作。 该方法还包括基于至少一个应用来执行一个或多个动作中的至少一个。

    SYSTEMS AND METHODS FOR CONTEXT-AWARE APPLICATION CONTROL
    5.
    发明申请
    SYSTEMS AND METHODS FOR CONTEXT-AWARE APPLICATION CONTROL 有权
    用于上下文应用控制的系统和方法

    公开(公告)号:US20150331711A1

    公开(公告)日:2015-11-19

    申请号:US14712847

    申请日:2015-05-14

    CPC classification number: G06F9/4451 G06F3/0481 G06F9/466 G06F9/542

    Abstract: A method performed by an electronic device is described. The method includes obtaining sensor information. The method also includes identifying a class of an object based on the sensor information. The method further includes determining one or more actions based on the sensor information, the class of the object and an action usage history. The method additionally includes performing at least one of the one or more actions based on at least one application.

    Abstract translation: 描述由电子设备执行的方法。 该方法包括获取传感器信息。 该方法还包括基于传感器信息识别对象的类别。 该方法还包括基于传感器信息,对象的类别和动作使用历史确定一个或多个动作。 该方法还包括基于至少一个应用来执行一个或多个动作中的至少一个。

    Adaptive object detection and recognition

    公开(公告)号:US10699126B2

    公开(公告)日:2020-06-30

    申请号:US15965665

    申请日:2018-04-27

    Abstract: Techniques and systems are provided for performing object recognition for video frames. For example, one or more video frames of a first video are obtained. The one or more video frames have a first resolution and include one or more objects. The one or more objects are detected in the one or more video frames of the first video based on object detection being performed on the one or more video frames. One or more video frames of a second video are also obtained. The one or more video frames of the second video also include the one or more objects and have a second resolution that is greater than the first resolution. An object recognition process is performed on the one or more video frames of the second video to recognize or identify the one or more objects detected in the one or more video frames of the first video. In some cases, feedback associated with the object detection and/or the object recognition process can be obtained, and a resolution of the first video and/or a resolution of the second video can be adjusted based on the feedback.

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