Machine learning techniques for increasing color consistency across videos

    公开(公告)号:US10679328B2

    公开(公告)日:2020-06-09

    申请号:US15987551

    申请日:2018-05-23

    申请人: Adobe Inc.

    摘要: Disclosed systems and methods use machine-learning techniques to determine a set of parameters that if applied to a target video, apply a color characteristic of a reference video to the target video. For example, a color consistency application executing on a computing device computes a feature vector including a representation of a reference video and a target video. The application determines a set of color parameters (e.g., exposure, color temperature, tint, etc.) by applying the feature vector to one or more predictive models trained to determine color consistency. The application generates a preview image by applying the parameters to the target video. The applying causes an adjustment of exposure, color temperature, or tint in the target video such that a color consistency of the adjusted target video is consistent with a color consistency of the reference video. The color consistency application provides settings to further adjust the parameters.

    Smart geo-fencing using location sensitive product affinity

    公开(公告)号:US11049142B2

    公开(公告)日:2021-06-29

    申请号:US15434886

    申请日:2017-02-16

    申请人: Adobe Inc.

    IPC分类号: G06Q30/02 H04W4/021

    摘要: In some embodiments, a computing system determines, based on stored user information retrieved from a mobile user device and associated with a particular user, a location-specific affinity of the particular user for a product at a particular geographical location. The location-specific affinity indicates an interest of the particular user in the product that increases when the particular user is positioned at the particular geographical location. The computing system designs a geo-fence targeted to the particular user based on the location-specific affinity, where messages are transmitted to the mobile user device if the particular user is within a boundary of the geo-fence. The geo-fence defines a geographical area that includes the particular geographical location and that is associated with a provider of the product. The computing system causes a telecommunication server to transmit the message to the user device when the user device is positioned within the designed geo-fence.

    MACHINE LEARNING TECHNIQUES FOR INCREASING COLOR CONSISTENCY ACROSS VIDEOS

    公开(公告)号:US20190362478A1

    公开(公告)日:2019-11-28

    申请号:US15987551

    申请日:2018-05-23

    申请人: Adobe Inc.

    摘要: Disclosed systems and methods use machine-learning techniques to determine a set of parameters that if applied to a target video, apply a color characteristic of a reference video to the target video. For example, a color consistency application executing on a computing device computes a feature vector including a representation of a reference video and a target video. The application determines a set of color parameters (e.g., exposure, color temperature, tint, etc.) by applying the feature vector to one or more predictive models trained to determine color consistency. The application generates a preview image by applying the parameters to the target video. The applying causes an adjustment of exposure, color temperature, or tint in the target video such that a color consistency of the adjusted target video is consistent with a color consistency of the reference video. The color consistency application provides settings to further adjust the parameters.