CONTENT FILTERING IN MEDIA PLAYING DEVICES

    公开(公告)号:US20210329338A1

    公开(公告)日:2021-10-21

    申请号:US17228438

    申请日:2021-04-12

    Abstract: Various approaches relate to user defined content filtering in media playing devices of undesirable content represented in stored and real-time content from content providers. For example, video, image, and/or audio data can be analyzed to identify and classify content included in the data using various classification models and object and text recognition approaches. Thereafter, the identification and classification can be used to control presentation and/or access to the content and/or portions of the content. For example, based on the classification, portions of the content can be modified (e.g., replaced, removed, degraded, etc.) using one or more techniques (e.g., media replacement, media removal, media degradation, etc.) and then presented.

    CONTENT FILTERING IN MEDIA PLAYING DEVICES
    2.
    发明公开

    公开(公告)号:US20230353826A1

    公开(公告)日:2023-11-02

    申请号:US18348249

    申请日:2023-07-06

    Abstract: Various approaches relate to user defined content filtering in media playing devices of undesirable content represented in stored and real-time content from content providers. For example, video, image, and/or audio data can be analyzed to identify and classify content included in the data using various classification models and object and text recognition approaches. Thereafter, the identification and classification can be used to control presentation and/or access to the content and/or portions of the content. For example, based on the classification, portions of the content can be modified (e.g., replaced, removed, degraded, etc.) using one or more techniques (e.g., media replacement, media removal, media degradation, etc.) and then presented.

    UNIFIED EMBEDDINGS FOR TRANSLATION
    3.
    发明申请

    公开(公告)号:US20200210529A1

    公开(公告)日:2020-07-02

    申请号:US16232984

    申请日:2018-12-26

    Inventor: Terry KONG

    Abstract: A method of training word embeddings is provided. The method includes determining anchors, each comprising a first word in a first domain and a second word in a second domain, training word embeddings for the first and second domains, and training a transform for transforming word embedding vectors in the first domain to word embedding vectors in the second domain, wherein the training minimizes a loss function that includes an anchor loss for each anchor, such that for each anchor, the anchor loss is based on a distance between the anchor's second word's embedding vector and the transform of the anchor's first word's embedding vector, and for each anchor, the anchor loss for the respective anchor is zero when the distance between the respective anchor's second word's embedding vector and the transform of the respective anchor's first word's embedding vector is less than a specific tolerance.

Patent Agency Ranking