ADAPTING CONTENT ITEMS TO TARGET DELIVERY FORMATS

    公开(公告)号:US20240373090A1

    公开(公告)日:2024-11-07

    申请号:US18143057

    申请日:2023-05-03

    Applicant: Google LLC

    Abstract: A method includes receiving, by a user device, a first bitstream. The first bitstream includes data corresponding to a media item. The first bitstream includes data for display at a first aspect ratio. The method further includes receiving a second bitstream including data corresponding to the media item for display at a second aspect ratio. The method further includes providing the first bitstream to a first bitstream decoder and the second bitstream to a second bitstream decoder. Operations of the first bitstream decoder and operations of the second bitstream decoder overlap in time. The method further includes determining whether to display the media item at the first or the second aspect ratio. The method further includes generating a composited media item based on the first bitstream and the second bitstream. The method further includes displaying the composited media item.

    OPTIMAL FORMAT SELECTION FOR VIDEO PLAYERS BASED ON PREDICTED VISUAL QUALITY USING MACHINE LEARNING

    公开(公告)号:US20230054130A1

    公开(公告)日:2023-02-23

    申请号:US17790102

    申请日:2019-12-31

    Applicant: GOOGLE LLC

    Abstract: A system and methods are disclosed for optimal format selection for video players based on visual quality. The method includes generating a plurality of reference transcoded versions of a reference video, obtaining quality scores for frames of the plurality of reference transcoded versions of the reference video, generating a first training input comprising a set of color attributes, spatial attributes, and temporal attributes of the frames of the reference video, and generating a first target output for the first training input, wherein the first target output comprises the quality scores for the frames of the plurality of reference transcoded versions of the reference video. The method further includes providing the training data to train a machine learning model on (i) a set of training inputs comprising the first training input and (ii) a set of target outputs comprising the first target output.

Patent Agency Ranking