Intelligent reframing
    1.
    发明授权

    公开(公告)号:US11595614B1

    公开(公告)日:2023-02-28

    申请号:US17475180

    申请日:2021-09-14

    Abstract: Intelligent reframing techniques are described in which content (e.g., a movie) can be generated in a different aspect ratio than previously provided. These techniques include obtaining various video frames having a first aspect ratio. Various objects can be identified within the frames. An object having the highest degree of importance in a frame can be selected and a focal point can be calculated based at least in part on that object. A modified version of the content can be generated in a second aspect ratio that is different from the first aspect ratio. The modified version can be generated using the focal point calculated based on the object having the greatest degree of importance. Using these techniques, the content can be provided in a different aspect ratio while ensuring that the most important features of the frame still appear in the new version of the content.

    Customized action based on video item events

    公开(公告)号:US11093781B2

    公开(公告)日:2021-08-17

    申请号:US16208074

    申请日:2018-12-03

    Abstract: A user may indicate an interest relating to events such as objects, persons, or activities, where the events included in content depicted in a video. The user may also indicate a configurable action associated with the user interest, including receiving a notification via an electronic device. A video item, for example a live-streaming sporting event, may be broken into frames and analyzed frame-by-frame to determine a region of interest. The region of interest is then analyzed to identify objects, persons, or activities depicted in the frame. In particular, the region of interest is compared to stored images that are known to depict different objects, persons, or activities. When a region of interest is determined to be associated with the user interest, the configurable action is triggered.

    Interactive entertainment content

    公开(公告)号:US11582522B1

    公开(公告)日:2023-02-14

    申请号:US17332498

    申请日:2021-05-27

    Abstract: A system can be configured to receive entertainment content requested by a user and identify content segments and content features from the entertainment content. The content segments can be utilized to identify portions of the entertainment content for enrichment and/or enhancement by the system. The content features can be utilized to associate the entertainment content and the content segments with supplemental content that includes or is associated with the content features. The content features can indicate genres, scene classifications, significant figures credited with creating the entertainment content, and other points of interests for users interested in the entertainment content. The associations between the entertainment content and the supplemental content can enable the system to engage the users by presenting the supplemental content determined to match interests of the users.

    Machine learning model to determine a proper subset of a multimedia file for a viewer based on their interest

    公开(公告)号:US12047650B1

    公开(公告)日:2024-07-23

    申请号:US17521668

    申请日:2021-11-08

    CPC classification number: H04N21/47217 H04N21/2187 H04N21/251 H04N21/8456

    Abstract: Techniques for using a machine learning model to determine a proper subset of a multimedia file for a viewer based on their interest without the need to actively control a media player timeline are described. As one example, a computer-implemented method includes receiving a request at a content delivery service from a media player of a viewer to play a proper subset of a live multimedia file for a category of content of the live multimedia file without the viewer actively controlling a timeline of the media player of the viewer, determining an indication of a prior multimedia playing interaction of the viewer with the content delivery service, partitioning, by the content delivery service, the live multimedia file into a video portion, an audio portion, and a text portion, determining, by the content delivery service, one or more labels for the video portion, the audio portion, and the text portion, determining, by a machine learning model of the content delivery service, a proper subset of segments of the live multimedia file to send to the viewer based at least in part on the indication and the one or more labels, and live streaming the proper subset of segments of the live multimedia file to the media player of the viewer.

    Audio-video synchronization for non-original audio tracks

    公开(公告)号:US11610610B1

    公开(公告)日:2023-03-21

    申请号:US17643805

    申请日:2021-12-10

    Abstract: Systems and methods are provided for detecting and correcting synchronization errors in multimedia content comprising a video stream and a non-original audio stream. Techniques for directly detecting synchronization of video and audio streams may be inadequate to detect synchronize errors for non-original audio streams, particularly where such non-original audio streams contain audio not reflective of events within the video stream, such as speaking dialog in a different language than the speakers of the video stream. To overcome this problem, the present disclosure enables synchronization of a non-original audio stream to another audio stream, such as an original audio stream, that is synchronized to the video stream. By comparison of signatures, the non-original and other audio stream are aligned to determine an offset that can be used to synchronize the non-original audio stream to the video stream.

    Detection and recognition of overlaid content within video content

    公开(公告)号:US11386683B1

    公开(公告)日:2022-07-12

    申请号:US16674493

    申请日:2019-11-05

    Abstract: Technologies are provided for the detection and recognition of overlaid content within video content. Some embodiments include a computing system that can receive data defining a sequence of frames corresponding to video content. The sequence of frames spans a defined time interval. The computing system can determine image changes between contiguous images defined by contiguous frames in the sequence of frames. A subset of the image changes can indicate static content within the video content, and another subset of the image changes can indicate non-static content. The computing system can then generate a composite image using at least the image changes, where the composite image includes an area representing the static content. Using the composite image, the computing system can classify the area as a defined visual element. Examples of the defined visual element include a logo and text.

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