Task reminder generator
    2.
    发明授权

    公开(公告)号:US11244288B2

    公开(公告)日:2022-02-08

    申请号:US15173414

    申请日:2016-06-03

    Abstract: Systems and methods are provided for generating task reminders. The method includes identifying, using a processor, a task description by parsing digital text from a message in an application. The method further includes obtaining context information from the parsed digital text indicating an association between the task description and the application. The method additionally includes generating, using the processor, a task reminder based on the obtained context information, the task reminder including digital text indicating the association between the task description and the application.

    TASK REMINDER GENERATOR
    3.
    发明申请

    公开(公告)号:US20170352008A1

    公开(公告)日:2017-12-07

    申请号:US15173414

    申请日:2016-06-03

    CPC classification number: G06Q10/1097

    Abstract: Systems and methods are provided for generating task reminders. The method includes identifying, using a processor, a task description by parsing digital text from a message in an application. The method further includes obtaining context information from the parsed digital text indicating an association between the task description and the application. The method additionally includes generating, using the processor, a task reminder based on the obtained context information, the task reminder including digital text indicating the association between the task description and the application.

    COGNITIVELY GENERATING INFORMATION FROM VIDEOS

    公开(公告)号:US20210081497A1

    公开(公告)日:2021-03-18

    申请号:US16571451

    申请日:2019-09-16

    Abstract: In an approach for detecting key messages for a video, a processor builds a role model based on data from one or more data sources, with an identification feature of each role in a video. A processor samples a plurality of frames of the video. A processor identifies a key object presented in the plurality of frames. The key object is a role in the video. A processor recognizes a movement scenario associated with the role. A processor dynamically updates the role model based on the movement scenario. A processor identifies a role name based on the movement scenario. A processor generates a description script associated with the movement scenario for the role. A processor outputs the description script.

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