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    LOCALIZED BRUSH STROKE PREVIEW
    1.
    发明申请
    LOCALIZED BRUSH STROKE PREVIEW 审中-公开

    公开(公告)号：US20170103557A1

    公开(公告)日：2017-04-13

    申请号：US14881591

    申请日：2015-10-13

    Applicant: Adobe Systems Incorporated

    Inventor： Nishant Kumar ,  Mohit Gupta ,  Kamal Arora

    IPC: G06T11/60 ,  G06F3/0481 ,  G06F3/0484 ,  G06T11/20

    Abstract: Embodiments of the present invention provide systems, methods, and computer storage media directed to a graphics editor that enables a localized preview of the effect of a selected digital brush. Such a graphics editor can be configured to determine a region of an image that is rendered on a display of the computing device that the user wishes to view a localized preview of. This region can, for example, be determined based on input received from a user of the computing device selecting the region. The graphics editor can then be configured to cause a localized preview to be rendered on a display of the computing device, where the localized preview reflects application of the selected digital brush to the determined region. Other embodiments may be described and/or claimed.

    USING MACHINE LEARNING TO DEFINE USER CONTROLS FOR PHOTO ADJUSTMENTS
    4.
    发明申请
    USING MACHINE LEARNING TO DEFINE USER CONTROLS FOR PHOTO ADJUSTMENTS 有权
    使用机器学习定义用于照片调整的用户控制

    公开(公告)号：US20150086109A1

    公开(公告)日：2015-03-26

    申请号：US14034194

    申请日：2013-09-23

    Applicant: Adobe Systems Incorporated

    Inventor： Sylvain Paris ,  Mohit Gupta ,  Srinivasa Madhava Phaneendra Angara ,  Durga Ganesh Grandhi

    IPC: G06K9/62 ,  G06T5/00 ,  G06F15/18

    CPC classification number: G06K9/6253 ,  G06F15/18 ,  G06T5/50 ,  G06T11/60 ,  G06T2207/10004 ,  G06T2207/20092

    Abstract: In various example embodiments, a system and method for using machine learning to define user controls for image adjustment is provided. In example embodiments, a new image to be adjusted is received. A weight is applied to reference images of a reference dataset based on a comparison of content of the new image to the reference image of the reference dataset. A plurality of basis styles is generated by applying weighted averages of adjustment parameters corresponding to the weighted reference images to the new image. Each of the plurality of basis styles comprises a version of the new image with an adjustment of at least one image control based on the weighted averages of the adjustment parameters of the reference dataset. The plurality of basis styles is provided to a user interface of a display device.

    Abstract translation: 在各种示例实施例中，提供了一种用于使用机器学习来定义用于图像调整的用户控件的系统和方法。 在示例实施例中，接收要调整的新图像。 基于新图像的内容与参考数据集的参考图像的比较，将权重应用于参考数据集的参考图像。 通过将对应于加权参考图像的调整参数的加权平均值应用于新图像来生成多个基本样式。 多个基本样式中的每一个包括基于参考数据集的调整参数的加权平均值的至少一个图像控制的调整的新图像的版本。 将多种基础样式提供给显示装置的用户界面。

    Using machine learning to define user controls for photo adjustments
    5.
    发明授权
    Using machine learning to define user controls for photo adjustments 有权
    使用机器学习来定义照片调整的用户控件

    公开(公告)号：US09195909B2

    公开(公告)日：2015-11-24

    申请号：US14034194

    申请日：2013-09-23

    Applicant: Adobe Systems Incorporated

    Inventor： Sylvain Paris ,  Mohit Gupta ,  Srinivasa Madhava Phaneendra Angara ,  Durga Ganesh Grandhi

    IPC: G06K9/40 ,  G06K9/62 ,  G06F15/18 ,  G06T5/50

    CPC classification number: G06K9/6253 ,  G06F15/18 ,  G06T5/50 ,  G06T11/60 ,  G06T2207/10004 ,  G06T2207/20092

    Abstract: In various example embodiments, a system and method for using machine learning to define user controls for image adjustment is provided. In example embodiments, a new image to be adjusted is received. A weight is applied to reference images of a reference dataset based on a comparison of content of the new image to the reference image of the reference dataset. A plurality of basis styles is generated by applying weighted averages of adjustment parameters corresponding to the weighted reference images to the new image. Each of the plurality of basis styles comprises a version of the new image with an adjustment of at least one image control based on the weighted averages of the adjustment parameters of the reference dataset. The plurality of basis styles is provided to a user interface of a display device.

    Abstract translation: 在各种示例实施例中，提供了一种用于使用机器学习来定义用于图像调整的用户控件的系统和方法。 在示例实施例中，接收要调整的新图像。 基于新图像的内容与参考数据集的参考图像的比较，将权重应用于参考数据集的参考图像。 通过将对应于加权参考图像的调整参数的加权平均值应用于新图像来生成多个基本样式。 多个基本样式中的每一个包括基于参考数据集的调整参数的加权平均值的至少一个图像控制的调整的新图像的版本。 将多种基础样式提供给显示装置的用户界面。

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