DEEP CONTENT TAGGING
    1.
    发明申请

    公开(公告)号:US20200275158A1

    公开(公告)日:2020-08-27

    申请号:US16799232

    申请日:2020-02-24

    Abstract: A method and apparatus for deep content tagging. A media device receives one or more first frames of a content item, where the one or more first frames spans a duration of a scene in the content item. The media device detects one or more objects or features in each of the first frames using a neural network model and identifies one or more first genres associated with the first frames based at least in part on the detected objects or features in each of the first frames. The media device further controls playback of the content item based at least in part on the identified first genres.

    Enrollment-free offline device personalization

    公开(公告)号:US11079911B2

    公开(公告)日:2021-08-03

    申请号:US16553998

    申请日:2019-08-28

    Abstract: A method and apparatus for device personalization. A device is configured to receive first sensor data from one or more sensors, detect biometric information in the first sensor data, encode the biometric information as a first vector using one or more neural network models stored on the device, and configure a user interface of the device based at least in part on the first vector. For example, the profile information may include configurations, settings, preferences, or content to be displayed or rendered via the user interface. In some implementations, the first sensor data may comprise an image of a scene and the biometric information may comprise one or more facial features of a user in the scene.

    Deep content tagging
    4.
    发明授权

    公开(公告)号:US11589120B2

    公开(公告)日:2023-02-21

    申请号:US16799232

    申请日:2020-02-24

    Abstract: A method and apparatus for deep content tagging. A media device receives one or more first frames of a content item, where the one or more first frames spans a duration of a scene in the content item. The media device detects one or more objects or features in each of the first frames using a neural network model and identifies one or more first genres associated with the first frames based at least in part on the detected objects or features in each of the first frames. The media device further controls playback of the content item based at least in part on the identified first genres.

    NEURAL NETWORK INFERENCING ON PROTECTED DATA

    公开(公告)号:US20200082279A1

    公开(公告)日:2020-03-12

    申请号:US16539847

    申请日:2019-08-13

    Inventor: Gaurav Arora

    Abstract: A method and apparatus for inferencing on protected data. A user device retrieves protected data from a secure memory, generates inferences about the protected data using one or more neural network models stored on the user device, and updates a user interface of the user device based at least in part on the inferences. The secure memory is inaccessible to applications executing in a rich environment of the user device. Thus, in some aspects, the inferences may be generated, at least in part, by a neural network application executing in a trusted environment of the user device.

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