USER DATA PROCESSING
    1.
    发明申请

    公开(公告)号:US20220067289A1

    公开(公告)日:2022-03-03

    申请号:US17009026

    申请日:2020-09-01

    Abstract: Techniques for determining attributable data in a natural language user input that can be used to identify a specific user are described. A system may use various data signals determined using different components. The system may process the various signals to make a final determination on whether the input includes attributable data. The system may use a first component to detect user-identifiable data in the input. The system may use a second component to determine whether the input is potentially attributable to a particular user.

    Low-latency spotlighting
    2.
    发明授权

    公开(公告)号:US12211275B1

    公开(公告)日:2025-01-28

    申请号:US17657302

    申请日:2022-03-30

    Abstract: Techniques for reducing the latency of annotating a replay video segment may include receiving a video segment with content involving multiple individuals. An annotation task is performed concurrently with a tracking task. The annotation task receives annotation data to indicate which of the individuals is an individual of interest in a subset of frames of the video segment, and the tracking task tracks the individuals in the video segment by generating bounding objects corresponding to the individuals. The annotation data can be associated with the bounding objects to detect a bounding object for the individual of interest, and a visualization emphasis object is generated based on the detected bounding object in a replay video segment to identify the individual of interest.

    User data processing
    3.
    发明授权

    公开(公告)号:US11645468B2

    公开(公告)日:2023-05-09

    申请号:US17009026

    申请日:2020-09-01

    CPC classification number: G06F40/295 G06F40/30 G10L15/08

    Abstract: Techniques for determining attributable data in a natural language user input that can be used to identify a specific user are described. A system may use various data signals determined using different components. The system may process the various signals to make a final determination on whether the input includes attributable data. The system may use a first component to detect user-identifiable data in the input. The system may use a second component to determine whether the input is potentially attributable to a particular user.

    Automated identification and tagging of video content

    公开(公告)号:US11151386B1

    公开(公告)日:2021-10-19

    申请号:US16809421

    申请日:2020-03-04

    Abstract: Systems, methods, and computer-readable media are disclosed for systems and methods for automated identification and tagging of video content. Example methods may include determining a first set of frames in video content, determining a first set of faces that appear in the first set of frames, and extracting first image content corresponding to respective faces of the first set of faces. Methods may include classifying the first image content into a first set of clusters, generating a second set of clusters comprising a second set of faces, wherein the second set of faces has less faces than the first set of faces, and determining a first actor identifier associated with a first face in the second set of clusters. Some methods may include determining second image content in the second set of clusters comprising the first face, and automatically associating the first actor identifier with the second image content.

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