Systems and methods for provisioning content

    公开(公告)号:US11182639B2

    公开(公告)日:2021-11-23

    申请号:US15953107

    申请日:2018-04-13

    Applicant: Facebook, Inc.

    Abstract: Systems, methods, and non-transitory computer-readable media can provide at least one frame of a content item to a saliency prediction model, the saliency prediction model being trained to identify salient points of interest that appear in content items. Information describing at least a first salient point of interest that appears in the at least one frame can be obtained from the saliency prediction model. The first salient point of interest can be predicted to be of interest to users accessing the content item. A view-based projection can be applied to a region corresponding to the first salient point of interest, wherein the view-based projection enhances a quality in which the region is presented.

    SYSTEMS AND METHODS FOR PROVISIONING CONTENT

    公开(公告)号:US20180300584A1

    公开(公告)日:2018-10-18

    申请号:US15953107

    申请日:2018-04-13

    Applicant: Facebook, Inc.

    Abstract: Systems, methods, and non-transitory computer-readable media can provide at least one frame of a content item to a saliency prediction model, the saliency prediction model being trained to identify salient points of interest that appear in content items. Information describing at least a first salient point of interest that appears in the at least one frame can be obtained from the saliency prediction model. The first salient point of interest can be predicted to be of interest to users accessing the content item. A view-based projection can be applied to a region corresponding to the first salient point of interest, wherein the view-based projection enhances a quality in which the region is presented.

    SYSTEMS AND METHODS FOR PRESENTING CONTENT
    3.
    发明申请

    公开(公告)号:US20180302601A1

    公开(公告)日:2018-10-18

    申请号:US15488484

    申请日:2017-04-16

    Applicant: Facebook, Inc.

    Inventor: Chien-Nan Chen

    CPC classification number: H04N13/366 H04N5/23238 H04N21/23412 H04N21/25891

    Abstract: Systems, methods, and non-transitory computer-readable media can determine a first position corresponding to a user focal point prior to presenting a given frame of a content item. A landscape representation of the given frame is determined. The landscape representation describes the respective popularity of one or more regions in the frame as a topology. A second position corresponding to the user focal point is determined based at least in part on the landscape representation and the first position. The second position is predicted to be the position of the user focal point when presenting the given frame.

    Systems and methods for presenting content

    公开(公告)号:US10484675B2

    公开(公告)日:2019-11-19

    申请号:US15488484

    申请日:2017-04-16

    Applicant: Facebook, Inc.

    Inventor: Chien-Nan Chen

    Abstract: Systems, methods, and non-transitory computer-readable media can determine a first position corresponding to a user focal point prior to presenting a given frame of a content item. A landscape representation of the given frame is determined. The landscape representation describes the respective popularity of one or more regions in the frame as a topology. A second position corresponding to the user focal point is determined based at least in part on the landscape representation and the first position. The second position is predicted to be the position of the user focal point when presenting the given frame.

    SYSTEMS AND METHODS FOR PROVISIONING CONTENT

    公开(公告)号:US20220092332A1

    公开(公告)日:2022-03-24

    申请号:US17509980

    申请日:2021-10-25

    Applicant: Facebook, Inc.

    Abstract: Systems, methods, and non-transitory computer-readable media can provide at least one frame of a content item to a saliency prediction model, the saliency prediction model being trained to identify salient points of interest that appear in content items. Information describing at least a first salient point of interest that appears in the at least one frame can be obtained from the saliency prediction model. The first salient point of interest can be predicted to be of interest to users accessing the content item. A view-based projection can be applied to a region corresponding to the first salient point of interest, wherein the view-based projection enhances a quality in which the region is presented.

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