Methods and systems for facilitating providing of augmented media content to a viewer

    公开(公告)号:US11368235B2

    公开(公告)日:2022-06-21

    申请号:US17196536

    申请日:2021-03-09

    摘要: Disclosed herein is a method for facilitating providing of augmented media content to a viewer, in accordance with some embodiments. Accordingly, the method may include receiving viewer information, analyzing the viewer information, identifying a media content, receiving the media content, analyzing the media content, identifying an interaction element in the media content, receiving a broadcaster preference and a viewer preference, receiving viewer interaction data, retrieving augmentation content, transmitting the augmentation content, generating a contextual parameter, transmitting the contextual parameter, receiving a selection of an augmentation content, embedding the augmentation content and the viewer context variable in the media content to obtain an augmented media content, transmitting the augmented media content, receiving a broadcaster context value corresponding to a broadcaster context variable, receiving a time stamp, receiving an auto-response content, and embedding the auto-response content in the media content.

    Media identification using watermarks and signatures

    公开(公告)号:US11271665B2

    公开(公告)日:2022-03-08

    申请号:US16744648

    申请日:2020-01-16

    IPC分类号: H04H60/64 H04H60/48 H04H60/37

    摘要: Apparatus, systems, articles of manufacture, and methods to identify media using watermarks and signatures are disclosed. An example apparatus includes a watermark evaluator to determine a category indicated by a watermark detected in the media. The example apparatus also includes a signature comparator to compare a query signature with a subset of reference signatures associated with the category to identify the media, the query signature generated from the media, the reference signatures generated from reference media associated with the category.

    Real-time automated classification system

    公开(公告)号:US10805029B2

    公开(公告)日:2020-10-13

    申请号:US16128124

    申请日:2018-09-11

    摘要: The current embodiments relate to a real-time automated classification system that uses machine learning system to recognize important moments in broadcast content based on log data and/or other data received from various classification systems. The real-time automated classification system may be trained to recognize correlations between the various log data to determine key moments in the broadcast content. The real-time automated logging system may determine and generate metadata that describe or give information about what is happening or appearing in the broadcast content. The real-time automated logging system may automatically generate control inputs, suggestions, recommendations, and/or edits relating to broadcast content based upon the metadata, during broadcasting of the broadcast content.

    AUTONOMOUS INTELLIGENT RADIO
    7.
    发明申请

    公开(公告)号:US20200184997A1

    公开(公告)日:2020-06-11

    申请号:US16407009

    申请日:2019-05-08

    申请人: SRI International

    摘要: Embodiments of the disclosed technologies include finding content of interest in an RF spectrum by automatically scanning the RF spectrum; detecting, in a range of frequencies of the RF spectrum that includes one or more undefined channels, a candidate RF segment; where the candidate RF segment includes a frequency-bound time segment of electromagnetic energy; executing a machine learning-based process to determine, for the candidate RF segment, signal characterization data indicative of one or more of: a frequency range, a modulation type, a timestamp; using the signal characterization data to determine whether audio contained in the candidate RF segment corresponds to a search criterion; in response to determining that the candidate RF segment corresponds to the search criterion, outputting, through an electronic device, data indicative of the candidate RF segment; where the data indicative of the candidate RF segment is output in a real-time time interval after the candidate RF segment is detected.

    REAL-TIME AUTOMATED CLASSIFICATION SYSTEM
    8.
    发明申请

    公开(公告)号:US20200083973A1

    公开(公告)日:2020-03-12

    申请号:US16128124

    申请日:2018-09-11

    摘要: The current embodiments relate to a real-time automated classification system that uses machine learning system to recognize important moments in broadcast content based on log data and/or other data received from various classification systems. The real-time automated classification system may be trained to recognize correlations between the various log data to determine key moments in the broadcast content. The real-time automated logging system may determine and generate metadata that describe or give information about what is happening or appearing in the broadcast content. The real-time automated logging system may automatically generate control inputs, suggestions, recommendations, and/or edits relating to broadcast content based upon the metadata, during broadcasting of the broadcast content.