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公开(公告)号：US09430848B1
公开(公告)日：2016-08-30
申请号：US14475196
申请日：2014-09-02
Applicant: Google Inc.
Inventor： Krzysztof Kulewski , Aravind Krishnaswamy , Sevket Derin Babacan
CPC classification number: G06T7/408 , G06K9/4642 , G06K9/4652 , G06T7/90 , G06T2207/10024
Abstract: Systems, methods and computer readable media for determination of monochromatic images are described. Some implementations can include a method. The method can include converting an image in a first colorspace to a first converted image in a second colorspace. The method can also include generating a hue histogram based on hue values in the converted image and determining a hue dispersion measure based on the hue histogram and a number of pixels in the image. The method can further include determining a hue clustering value based on the hue histogram and converting the image in the first colorspace into a second converted image in a third colorspace. The method can also include determining a variance measure based on the second converted image, and comparing the hue dispersion measure, the hue clustering value and the variance measure to a first threshold value, a second threshold value and a third threshold value, respectively.
Abstract translation: 描述了用于确定单色图像的系统，方法和计算机可读介质。 一些实现可以包括一种方法。 该方法可以包括将第一颜色空间中的图像转换为第二颜色空间中的第一转换图像。 该方法还可以包括基于转换的图像中的色相值生成色调直方图，并且基于色相直方图和图像中的像素数量来确定色相分散度量度。 该方法还可以包括基于色调直方图确定色相聚类值，并将第一颜色空间中的图像转换为第三颜色空间中的第二转换图像。 该方法还可以包括基于第二转换图像确定方差度量，并且将色相色散测量值，色相聚类值和方差度量分别与第一阈值，第二阈值和第三阈值进行比较。
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公开(公告)号：US20150178946A1
公开(公告)日：2015-06-25
申请号：US14575225
申请日：2014-12-18
Applicant: Google Inc.
CPC classification number: G06T7/40 , G06K9/46 , G06K2009/4666 , G06T3/40 , G06T5/002 , G06T7/11 , G06T7/42 , G06T2207/20012
Abstract: Implementations relate to adjusting images using a texture mask. In some implementations, a method includes detecting one or more texture regions having detected texture in an image, and generating a mask from the image based on the detected texture regions. The detected texture regions are distinguished in the mask from other regions of the image that do not have detected texture. The method applies one or more adjustment operations to the image in amounts based on values of the mask.
Abstract translation: 实现涉及使用纹理蒙版调整图像。 在一些实现中，一种方法包括检测在图像中具有检测到的纹理的一个或多个纹理区域，以及基于检测到的纹理区域从图像生成掩模。 检测到的纹理区域在掩模中与图像中没有检测到纹理的其他区域区分开。 该方法基于掩码的值将数量应用于图像的一个或多个调整操作。
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公开(公告)号：US10127945B2
公开(公告)日：2018-11-13
申请号：US15071154
申请日：2016-03-15
Applicant: Google Inc.
Inventor： Bo-Jhang Ho , Sevket Derin Babacan
IPC: H04N5/93 , G11B27/036 , G06K9/00 , G06F17/30
Abstract: Implementations relate to visualizations including images based on image content. In some implementations, a computer-implemented method includes obtaining a set of images, determining one or more pixel characteristics of the set of images, and determining one or more faces depicted in the plurality of images based on one or more pixel characteristics. The method selects a group of images of the set of images, where each image in the group of images depicts a different group of faces than depicted in the other images in the set of images. The method generates a visualization including the group of images, and provides the visualization to a user device in response to a user request to cause the group of images to be displayed by the user device.
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公开(公告)号：US09881202B2
公开(公告)日：2018-01-30
申请号：US14273399
申请日：2014-05-08
Applicant: Google Inc.
Inventor： Sevket Derin Babacan , Aravind Krishnaswamy
CPC classification number: G06K9/00228 , G06T5/008 , G06T11/60 , G06T2207/30201
Abstract: Implementations relate to providing visual effects for images. In some implementations, a method includes detecting one or more objects in an image. The method identifies one or more important objects of the objects, where the important objects are determined to have an importance measurement satisfying a predetermined threshold indicating their importance to a viewer of the image. The method determines an application of a visual image effect to the image based on the important objects.
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公开(公告)号：US09639956B2
公开(公告)日：2017-05-02
申请号：US14575225
申请日：2014-12-18
Applicant: Google Inc.
CPC classification number: G06T7/40 , G06K9/46 , G06K2009/4666 , G06T3/40 , G06T5/002 , G06T7/11 , G06T7/42 , G06T2207/20012
Abstract: Implementations relate to adjusting images using a texture mask. In some implementations, a method includes detecting one or more texture regions having detected texture in an image, and generating a mask from the image based on the detected texture regions. The detected texture regions are distinguished in the mask from other regions of the image that do not have detected texture. The method applies one or more adjustment operations to the image in amounts based on values of the mask.
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Patent Agency Ranking
公开(公告)号：US20160284070A1
公开(公告)日：2016-09-29
申请号：US15081924
申请日：2016-03-27
Applicant: Google Inc.
Inventor： Daniel Pettigrew , Jason Chang , Ronald Frank Wotzlaw , Sevket Derin Babacan , Aravind Krishnaswamy
IPC: G06T5/00 , G06K9/00 , G06T5/40 , G06F3/0484
CPC classification number: G06T5/008 , G06F3/04845 , G06F3/04847 , G06K9/00228 , G06T5/002 , G06T5/007 , G06T5/009 , G06T5/40 , G06T2207/20016 , G11B27/034 , G11B27/34
Abstract: Methods and systems for modifying an image by applying an effect to an image are described. The effects include a pop effect, a light adjustment, or a color adjustment to an image. The methods and systems include providing a user slider to for applying an effect to the image. The methods and systems further include determining a first portion of the image including a face and creating a protection mask to protect the face in the first portion during image modification. The protection mask may include an enhancement threshold for modifying the first portion of the image. The modification of the image may include modifying the second portion of the image differently than the first portion of the image. A method for enforcing different resolutions of a same input image to produce similar visual results is also described.
Abstract translation: 描述通过对图像应用效果来修改图像的方法和系统。 效果包括弹出效果，光调整或对图像的颜色调整。 方法和系统包括提供用于将效果应用于图像的用户滑块。 所述方法和系统还包括确定图像的包括脸部的第一部分，并创建保护面罩，以在图像修改期间保护第一部分中的脸部。 保护掩模可以包括用于修改图像的第一部分的增强阈值。 图像的修改可以包括不同于图像的第一部分来修改图像的第二部分。 还描述了用于执行相同输入图像的不同分辨率以产生类似的视觉结果的方法。
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公开(公告)号：US09704231B1
公开(公告)日：2017-07-11
申请号：US14715156
申请日：2015-05-18
Applicant: Google Inc.
Inventor： Krzysztof Kulewski , Aravind Krishnaswamy , Sevket Derin Babacan
CPC classification number: G06T7/0002 , G06K9/00664 , G06K9/46 , G06T5/50 , G06T11/60 , G06T2207/10004 , G06T2207/30168
Abstract: Implementations relate to visualizing and measuring impact of image modifications. In some implementations, a method to measure and indicate impact of image modification includes applying an edit operation to a first image, including modifying one or more pixels of the first image to provide a modified image. The method determines an impact score associated with the edit operation and indicative of a degree of visual impact of the edit operation to the first image. The method provides, based on the impact score, the modified image in a visualization of image modification for the first image, and provides the visualization for display by a display device.
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公开(公告)号：US09256950B1
公开(公告)日：2016-02-09
申请号：US14200000
申请日：2014-03-06
Applicant: Google Inc.
Inventor： Hao Xu , Stephen Joseph DiVerdi , Sevket Derin Babacan , Aravind Krishnaswamy , Tinglin Liu
CPC classification number: G06T11/60 , G06K9/00 , G06K9/00281
Abstract: Implementations relate to detecting and modifying facial features of persons in images. In some implementations, a method includes receiving one or more general color models of color distribution for a facial feature of persons depicted in training images. The method obtains an input image, and determines a feature mask associated with the facial feature for one or more faces in the input image. Determining the mask includes estimating one or more local color models for each of the faces in the input image based on the general color models, and iteratively refining the estimated local color models based on the general color models. The refined local color models are used in the determination of the feature mask. The method applies a modification to the facial feature of faces in the input image using the feature mask.
Abstract translation: 实现涉及检测和修改图像中人物的面部特征。 在一些实施方式中，一种方法包括接收用于训练图像中描绘的人物的面部特征的颜色分布的一个或多个通用颜色模型。 该方法获得输入图像，并且确定与输入图像中的一个或多个面部的面部特征相关联的特征掩模。 确定掩模包括基于一般颜色模型估计输入图像中的每个面部的一个或多个局部颜色模型，并且基于一般颜色模型迭代地改进估计的局部颜色模型。 精确的局部颜色模型用于确定特征掩模。 该方法使用特征掩码对输入图像中的面部的面部特征应用修改。
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公开(公告)号：US20140341442A1
公开(公告)日：2014-11-20
申请号：US13894384
申请日：2013-05-14
Applicant: Google Inc.
Inventor： Justin Lewis , Gavin James , Grayson Lang , Aravind Krishnaswamy , Sevket Derin Babacan
CPC classification number: G06K9/00234 , G06K9/00248 , G06K9/342 , G06K9/4652 , G06T5/002 , G06T5/008 , G06T7/11 , G06T7/194 , G06T2207/10024 , G06T2207/30201
Abstract: In some implementations, a method includes identifying one or more face regions of an image, the face regions including pixels that depict at least a portion of one or more faces of persons. The face regions are identified based on identifying facial landmarks of the faces. The method determines an associated face mask for each of the faces based on the face regions, where each face mask indicates which pixels in the image depict the corresponding face. Face pixels can be selected for processing by applying the face masks, and image pixels outside the faces can be selected by inversely applying the face masks. The selected pixels can be provided to a processing operation for adjustment of the selected pixels.
Abstract translation: 在一些实现中，一种方法包括识别图像的一个或多个面部区域，所述面部区域包括描绘人的一个或多个面部的至少一部分的像素。 基于识别面部的面部标志来识别面部区域。 该方法基于面部区域确定每个面部的相关面罩，其中每个面罩指示图像中的哪些像素描绘对应的面部。 可以通过应用面罩来选择面部像素进行处理，并且可以通过反面应用面罩来选择面部之外的图像像素。 可以将所选择的像素提供给用于调整所选像素的处理操作。
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公开(公告)号：US10101891B1
公开(公告)日：2018-10-16
申请号：US15080271
申请日：2016-03-24
Applicant: Google Inc.
Inventor： Krzysztof Kulewski , Jordi Miguel Verdu Orts , John Thomas Nack , Sevket Derin Babacan , Juan Carlos Miguel Anorga
IPC: G06F13/00 , G06F15/00 , G06F3/0484 , G06T3/40
Abstract: Implementations relate to computer-assisted cropping of an image. A computer-executed method includes receiving user input indicative of a change in size of a crop window from a first size to a second size, where the crop window is displayed over an image in an image editing user interface. The method detects that the crop window of the second size has an aspect ratio within a threshold range of a predetermined aspect ratio. In response to the detection, the method resizes the crop window to a third size, where the crop window of the third size has a resized aspect ratio substantially the same as the predetermined aspect ratio.
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