Virtual machine
    1.
    发明授权

    公开(公告)号:US11604700B2

    公开(公告)日:2023-03-14

    申请号:US17244904

    申请日:2021-04-29

    Applicant: Google LLC

    Abstract: A computer-implemented method for executing a software application in a virtual machine executing on a data processing device includes receiving software code for a software application, determining application programming interfaces referenced by the software code, determining portions of an operating system accessed by the software code and creating an application container in the virtual machine. The method also includes application programming interfaces referenced by the software code inside the application container, portions of the operating system accessed by the software code inside the application container and executing the software application inside the application container on the virtual machine.

    Virtual Machine
    4.
    发明申请

    公开(公告)号:US20210248039A1

    公开(公告)日:2021-08-12

    申请号:US17244904

    申请日:2021-04-29

    Applicant: Google LLC

    Abstract: A computer-implemented method for executing a software application in a virtual machine executing on a data processing device includes receiving software code for a software application, determining application programming interfaces referenced by the software code, determining portions of an operating system accessed by the software code and creating an application container in the virtual machine. The method also includes application programming interfaces referenced by the software code inside the application container, portions of the operating system accessed by the software code inside the application container and executing the software application inside the application container on the virtual machine.

    Hierarchical Video Encoders
    6.
    发明公开

    公开(公告)号:US20240114158A1

    公开(公告)日:2024-04-04

    申请号:US18529173

    申请日:2023-12-05

    Applicant: Google LLC

    CPC classification number: H04N19/30 G06N20/00 H04N19/172

    Abstract: A computer-implemented method for generating video representations utilizing a hierarchical video encoder includes obtaining a video, wherein the video includes a plurality of frames, processing each of the plurality of frames with a machine-learned frame-level encoder model to respectively generate a plurality of frame representations for the plurality of frames, the plurality of frame representations respective to the plurality of frames determining a plurality of segment representations representative of a plurality of video segments including one or more of the plurality of frames, the plurality of segment representations based at least in part on the plurality of frame representations, processing the plurality of segment representations with a machine-learned segment-level encoder model to generate a plurality of contextualized segment representations, determining a video representation based at least in part on the plurality of contextualized segment representations, and providing the video representation as an output.

    Hierarchical Video Encoders
    8.
    发明申请

    公开(公告)号:US20230103148A1

    公开(公告)日:2023-03-30

    申请号:US18070556

    申请日:2022-11-29

    Applicant: Google LLC

    Abstract: A computer-implemented method for generating video representations utilizing a hierarchical video encoder includes obtaining a video, wherein the video includes a plurality of frames, processing each of the plurality of frames with a machine-learned frame-level encoder model to respectively generate a plurality of frame representations for the plurality of frames, the plurality of frame representations respective to the plurality of frames determining a plurality of segment representations representative of a plurality of video segments including one or more of the plurality of frames, the plurality of segment representations based at least in part on the plurality of frame representations, processing the plurality of segment representations with a machine-learned segment-level encoder model to generate a plurality of contextualized segment representations, determining a video representation based at least in part on the plurality of contextualized segment representations, and providing the video representation as an output.

    Hierarchical Video Encoders
    9.
    发明申请

    公开(公告)号:US20220256175A1

    公开(公告)日:2022-08-11

    申请号:US17162150

    申请日:2021-01-29

    Applicant: Google LLC

    Abstract: A computer-implemented method for generating video representations utilizing a hierarchical video encoder includes obtaining a video, wherein the video includes a plurality of frames, processing each of the plurality of frames with a machine-learned frame-level encoder model to respectively generate a plurality of frame representations for the plurality of frames, the plurality of frame representations respective to the plurality of frames determining a plurality of segment representations representative of a plurality of video segments including one or more of the plurality of frames, the plurality of segment representations based at least in part on the plurality of frame representations, processing the plurality of segment representations with a machine-learned segment-level encoder model to generate a plurality of contextualized segment representations, determining a video representation based at least in part on the plurality of contextualized segment representations, and providing the video representation as an output.

    Hierarchical video encoders
    10.
    发明授权

    公开(公告)号:US11876986B2

    公开(公告)日:2024-01-16

    申请号:US18070556

    申请日:2022-11-29

    Applicant: Google LLC

    CPC classification number: H04N19/30 G06N20/00 H04N19/172

    Abstract: A computer-implemented method for generating video representations utilizing a hierarchical video encoder includes obtaining a video, wherein the video includes a plurality of frames, processing each of the plurality of frames with a machine-learned frame-level encoder model to respectively generate a plurality of frame representations for the plurality of frames, the plurality of frame representations respective to the plurality of frames determining a plurality of segment representations representative of a plurality of video segments including one or more of the plurality of frames, the plurality of segment representations based at least in part on the plurality of frame representations, processing the plurality of segment representations with a machine-learned segment-level encoder model to generate a plurality of contextualized segment representations, determining a video representation based at least in part on the plurality of contextualized segment representations, and providing the video representation as an output.

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