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    VISUAL EXAMPLE-BASED USER INTERFACE FOR ADJUSTING PHOTOS ALONG TWO DIMENSIONS
    1.
    发明申请
    VISUAL EXAMPLE-BASED USER INTERFACE FOR ADJUSTING PHOTOS ALONG TWO DIMENSIONS 审中-公开
    基于实例的用户界面调整两个尺寸的照片

    公开(公告)号：US20150089444A1

    公开(公告)日：2015-03-26

    申请号：US14034259

    申请日：2013-09-23

    Applicant: Adobe Systems Incorporated

    Inventor： Sylvain Paris ,  Durga Ganesh Grandhi ,  Srinivasa Madhava Phaneendra Angara ,  Robert Land Gager ,  Sharad Baliyan

    IPC: G06F3/0484 ,  G06F3/0481

    CPC classification number: G06F3/04845

    Abstract: In various example embodiments, a system and method for providing a visual example-based user interface for adjusting images is provided. In example embodiments, a new image to be adjusted is received. A plurality of basis styles is generated by applying adjustment parameters to the new image. Each of the plurality of basis styles comprises an adjusted version of the new image with an adjustment of at least one image control. A user interface is provided that positions a version of the new image in a center portion and positions the plurality of basis styles on the user interface based on the adjustment parameters applied to the new image. A control mechanism is provided over the version of the new image whereby movement of the control mechanism to a new position on the user interface causes the version of the new image to adjust accordingly.

    Abstract translation: 在各种示例实施例中，提供了一种用于提供用于调整图像的基于视觉示例的用户界面的系统和方法。 在示例实施例中，接收要调整的新图像。 通过对新图像应用调整参数来生成多个基本样式。 多个基本样式中的每一个包括具有至少一个图像控制的调整的新图像的调整版本。 提供了一种用户界面，其将新图像的版本定位在中心部分中，并且基于应用于新图像的调整参数将多个基础样式定位在用户界面上。 在新图像的版本上提供控制机构，由此将控制机构移动到用户界面上的新位置使得新图像的版本相应地进行调整。

    LEARNING USER PREFERENCES FOR PHOTO ADJUSTMENTS
    3.
    发明申请
    LEARNING USER PREFERENCES FOR PHOTO ADJUSTMENTS 有权
    学习照片调整的用户首选项

    公开(公告)号：US20150098646A1

    公开(公告)日：2015-04-09

    申请号：US14047735

    申请日：2013-10-07

    Applicant: Adobe Systems Incorporated

    Inventor： Sylvain Paris ,  Durga Ganesh Grandhi ,  Srinivasa Madhava Phaneendra Angara ,  Robert Land Gager

    IPC: G06K9/66 ,  G06T5/00 ,  G06K9/62

    CPC classification number: G06K9/6254 ,  G06K9/6202 ,  G06K9/6215 ,  G06T5/00 ,  G06T5/50 ,  G06T2200/24 ,  G06T2200/28 ,  G06T2207/20081

    Abstract: In example embodiments, systems and methods for learning and using user preferences for image adjustments are presented. In example embodiments, a new image is received. A correction parameter based on previously stored user adjustments for similar images is determined. A user style that is an adjusted version of the new image is generated by applying the correction parameter. The user style is provided on a user interface. A user adjustment is received. Based on determining that a user sample image is within a predetermined threshold of closeness to the new image, data corresponding to the user sample image is replaced with new adjustment data for the new image in a database of user sample images used to generate the correction parameter. Based on determining that no user sample images are within the predetermined threshold of closeness, new adjustment data is appended to the database used to generate the correction parameter.

    Abstract translation: 在示例实施例中，呈现用于学习和使用用于图像调整的用户偏好的系统和方法。 在示例实施例中，接收新的图像。 确定基于用于类似图像的先前存储的用户调整的校正参数。 通过应用校正参数生成作为新图像的调整版本的用户风格。 在用户界面上提供用户风格。 接收用户调整。 基于确定用户采样图像在与新图像的接近度的预定阈值内，与用户样本图像相对应的数据被替换为用于生成修正参数的用户样本图像的数据库中的新图像的新调整数据 。 基于确定没有用户样本图像在预定的接近阈值内，新的调整数据被附加到用于生成校正参数的数据库。

    Learning user preferences for photo adjustments
    4.
    发明授权
    Learning user preferences for photo adjustments 有权

    公开(公告)号：US10108884B2

    公开(公告)日：2018-10-23

    申请号：US15154796

    申请日：2016-05-13

    Applicant: ADOBE SYSTEMS INCORPORATED

    Inventor： Sylvain Paris ,  Durga Ganesh Grandhi ,  Srinivasa Madhava Phaneendra Angara ,  Robert Land Gager

    IPC: G06K9/00 ,  G06K9/62 ,  G06T5/00 ,  G06T5/50

    Abstract: In example embodiments, systems and methods for learning and using user preferences for image adjustments are presented. In example embodiments, a new image is received. A correction parameter based on previously stored user adjustments for similar images is determined. A user style that is an adjusted version of the new image is generated by applying the correction parameter. The user style is provided on a user interface. A user adjustment is received. Based on determining that a user sample image is within a predetermined threshold of closeness to the new image, data corresponding to the user sample image is replaced with new adjustment data for the new image in a database of user sample images used to generate the correction parameter. Based on determining that no user sample images are within the predetermined threshold of closeness, new adjustment data is appended to the database used to generate the correction parameter.

    USING MACHINE LEARNING TO DEFINE USER CONTROLS FOR PHOTO ADJUSTMENTS
    6.
    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。

    LEARNING USER PREFERENCES FOR PHOTO ADJUSTMENTS
    7.
    发明申请
    LEARNING USER PREFERENCES FOR PHOTO ADJUSTMENTS 审中-公开

    公开(公告)号：US20160253578A1

    公开(公告)日：2016-09-01

    申请号：US15154796

    申请日：2016-05-13

    Applicant: ADOBE SYSTEMS INCORPORATED

    Inventor： Sylvain Paris ,  Durga Ganesh Grandhi ,  Srinivasa Madhava Phaneendra Angara ,  Robert Land Gager

    IPC: G06K9/62 ,  G06T5/50

    CPC classification number: G06K9/6254 ,  G06K9/6202 ,  G06K9/6215 ,  G06T5/00 ,  G06T5/50 ,  G06T2200/24 ,  G06T2200/28 ,  G06T2207/20081

    Abstract: In example embodiments, systems and methods for learning and using user preferences for image adjustments are presented. In example embodiments, a new image is received. A correction parameter based on previously stored user adjustments for similar images is determined. A user style that is an adjusted version of the new image is generated by applying the correction parameter. The user style is provided on a user interface. A user adjustment is received. Based on determining that a user sample image is within a predetermined threshold of closeness to the new image, data corresponding to the user sample image is replaced with new adjustment data for the new image in a database of user sample images used to generate the correction parameter. Based on determining that no user sample images are within the predetermined threshold of closeness, new adjustment data is appended to the database used to generate the correction parameter.

    Learning user preferences for photo adjustments
    8.
    发明授权
    Learning user preferences for photo adjustments 有权
    学习照片调整的用户偏好

    公开(公告)号：US09361666B2

    公开(公告)日：2016-06-07

    申请号：US14047735

    申请日：2013-10-07

    Applicant: Adobe Systems Incorporated

    Inventor： Sylvain Paris ,  Durga Ganesh Grandhi ,  Srinivasa Madhava Phaneendra Angara ,  Robert Land Gager

    IPC: G06K9/62 ,  G06T5/00

    CPC classification number: G06K9/6254 ,  G06K9/6202 ,  G06K9/6215 ,  G06T5/00 ,  G06T5/50 ,  G06T2200/24 ,  G06T2200/28 ,  G06T2207/20081

    Abstract: In example embodiments, systems and methods for learning and using user preferences for image adjustments are presented. In example embodiments, a new image is received. A correction parameter based on previously stored user adjustments for similar images is determined. A user style that is an adjusted version of the new image is generated by applying the correction parameter. The user style is provided on a user interface. A user adjustment is received. Based on determining that a user sample image is within a predetermined threshold of closeness to the new image, data corresponding to the user sample image is replaced with new adjustment data for the new image in a database of user sample images used to generate the correction parameter. Based on determining that no user sample images are within the predetermined threshold of closeness, new adjustment data is appended to the database used to generate the correction parameter.

    Abstract translation: 在示例实施例中，呈现用于学习和使用用于图像调整的用户偏好的系统和方法。 在示例实施例中，接收新的图像。 确定基于用于类似图像的先前存储的用户调整的校正参数。 通过应用校正参数生成作为新图像的调整版本的用户风格。 在用户界面上提供用户风格。 接收用户调整。 基于确定用户采样图像在与新图像的接近度的预定阈值内，与用户样本图像相对应的数据被替换为用于生成修正参数的用户样本图像的数据库中的新图像的新调整数据 。 基于确定没有用户样本图像在预定的接近阈值内，新的调整数据被附加到用于生成校正参数的数据库。

    Using machine learning to define user controls for photo adjustments
    9.
    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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