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公开(公告)号：US09501684B1
公开(公告)日：2016-11-22
申请号：US14106337
申请日：2013-12-13
Applicant: Google Inc.
Inventor： Aravind Krishnaswamy , Matthew Steiner
Abstract: Implementations generally relate to image editing. In some implementations, a method includes receiving an edited image, where the edited image includes an edit list and an image signature. The method further includes retrieving an original image based on the image signature. The method further includes applying the edit list to the original image to obtain a modified original image. The method further includes providing the modified original image to a user if the comparing of the edited image to the modified original image meets a similarity threshold.
Abstract translation: 实现通常涉及图像编辑。 在一些实现中，一种方法包括接收编辑的图像，其中编辑的图像包括编辑列表和图像签名。 该方法还包括基于图像签名检索原始图像。 该方法还包括将编辑列表应用于原始图像以获得修改的原始图像。 该方法还包括：如果编辑图像与经修改的原始图像的比较满足相似性阈值，则将修改的原始图像提供给用户。
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公开(公告)号：US09449256B1
公开(公告)日：2016-09-20
申请号：US14530053
申请日：2014-10-31
Applicant: Google Inc.
Inventor： Aravind Krishnaswamy , Nicholas Butko , Timothy S. St Clair
CPC classification number: G06K9/6215 , G06K9/6218 , G06T5/00 , G06T5/001
Abstract: In some implementations, a method provides image candidates for a user. The method can include applying a plurality of different image adjustment types to an image to produce a plurality of different adjusted images. A score is determined for each of the adjusted images, where each score is based on previous selections by a plurality of persons of other images having one or more characteristics similar to the adjusted images. The method determines one or more candidate images for presentation to a particular user, where each candidate image is obtained from one of the different image adjustment types. The candidate images are determined based on the scores of the adjustment types.
Abstract translation: 在一些实现中，一种方法为用户提供图像候选。 该方法可以包括将多种不同的图像调整类型应用于图像以产生多个不同的调整图像。 确定每个调整图像的分数，其中每个分数基于具有与调整图像类似的一个或多个特征的其他图像的多个人的先前选择。 该方法确定用于呈现给特定用户的一个或多个候选图像，其中从不同图像调整类型之一获得每个候选图像。 候选图像根据调整类型的分数来确定。
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23.发明授权Noise estimation for images using polynomial relationship for pixel values of image features 有权使用图像特征像素值的多项式关系的图像噪声估计公开(公告)号：US09330340B1
公开(公告)日：2016-05-03
申请号：US14704918
申请日：2015-05-05
Applicant: Google Inc.
Inventor： Stephen Joseph Diverdi , Sevket Derin Babacan , Aravind Krishnaswamy
CPC classification number: G06T7/0002 , G06T2207/30168
Abstract: Implementations relate to estimating noise in images using a polynomial relationship for pixel values of image features. In some implementations, a computer-implemented method to estimate noise in an image includes determining a plurality of patches of pixels in the image. For each patch of pixels, the method determines feature pixels in the patch that are included in a particular image feature at least partially depicted in the patch. The method determines an error estimate for each patch of pixels, where each error estimate is based on an amount by which pixel values of the feature pixels in the patch of pixels are different from an estimated polynomial relationship between the feature pixels in the patch of pixels. One of the error estimates is selected as a noise level estimate for the image.
Abstract translation: 实现涉及使用图像特征的像素值的多项式关系来估计图像中的噪声。 在一些实现中，用于估计图像中的噪声的计算机实现的方法包括确定图像中的多个像素块。 对于每个像素块，该方法确定补丁中包括在补丁中至少部分描绘的特定图像特征中的特征像素。 该方法确定每个像素块的误差估计，其中每个误差估计基于像素块中的特征像素的像素值与像素块中的特征像素之间的估计多项式关系不同的量 。 选择其中一个误差估计作为图像的噪声水平估计。
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公开(公告)号：US08908987B1
公开(公告)日：2014-12-09
申请号：US13633079
申请日：2012-10-01
Applicant: Google Inc.
Inventor： Aravind Krishnaswamy , Nicholas Butko , Timothy S. St. Clair
IPC: G06K9/40
CPC classification number: G06K9/6215 , G06K9/6218 , G06T5/00 , G06T5/001
Abstract: In some implementations, a method provides image candidates for a user. The method can include applying a plurality of different image adjustment types to an image to produce a plurality of different adjusted images. A score is determined for each of the adjusted images, where each score is based on previous selections by a plurality of persons of other images having one or more characteristics similar to the adjusted images. The method determines one or more candidate images for presentation to a particular user, where each candidate image is obtained from one of the different image adjustment types. The candidate images are determined based on the scores of the adjustment types.
Abstract translation: 在一些实现中，一种方法为用户提供图像候选。 该方法可以包括将多种不同的图像调整类型应用于图像以产生多个不同的调整图像。 确定每个调整图像的分数，其中每个分数基于具有与调整图像类似的一个或多个特征的其他图像的多个人的先前选择。 该方法确定用于呈现给特定用户的一个或多个候选图像，其中从不同图像调整类型之一获得每个候选图像。 候选图像根据调整类型的分数来确定。
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公开(公告)号：US10242711B2
公开(公告)日：2019-03-26
申请号：US15633011
申请日：2017-06-26
Applicant: Google Inc.
Inventor： Shengyang Dai , Timothy Sepkoski St. Clair , Koji Ashida , Jingyu Cui , Jay Steele , Qi Gu , Erik Murphy-Chutorian , Ivan Neulander , Flavio Lerda , Eric Charles Henry , Shinko Yuanhsien Cheng , Aravind Krishnaswamy , David Cohen , Pardis Beikzadeh
IPC: H04N9/80 , H04N5/93 , G11B27/036 , G11B27/034 , G11B27/10 , H04N5/76 , G11B27/34 , G11B27/28 , H04N5/262
Abstract: A method includes grouping media items associated with a user into segments based on a timestamp associated with each media item and a total number of media items. The method also includes selecting target media from the media items for each of the segments based on media attributes associated with the media item. The method also includes generating a video that includes the target media for each of the segments by generating a first animation that illustrates a first transition from a first item from the target media to a second item from the target media with movement of the first item from an onscreen location to an offscreen location, wherein the first item is adjacent to the second item in the first animation and determining whether the target media includes one or more additional items. The method also includes adding a song to the video.
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Patent Agency Ranking
公开(公告)号：US10049477B1
公开(公告)日：2018-08-14
申请号：US14752658
申请日：2015-06-26
Applicant: Google Inc.
Inventor： Nils Kokemohr , Aravind Krishnaswamy , Ronald Frank Wotzlaw , Daniel Frederik Schwarz
Abstract: Implementations can relate to providing computer-assisted text and visual styling for images. In some implementations, a computer-implemented method includes determining a set of characteristics of an image, and applying one or more first visual modifications to the image based on one or more of the set of characteristics of the image. The method can include receiving user input defining user text, providing the user text in the image, and applying one or more second visual modifications to the image based on the user text and based on at least one of the set of characteristics of the image.
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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：US09449370B2
公开(公告)日：2016-09-20
申请号：US14516857
申请日：2014-10-17
Applicant: Google Inc.
Inventor： Aravind Krishnaswamy
CPC classification number: G06T5/00 , G06K9/00268 , G06K9/40 , G06K9/46 , G06K9/4647 , G06K9/4661 , G06T5/007 , G06T5/40 , G06T7/0002 , G06T2207/20012 , G06T2207/30168 , G06T2207/30201
Abstract: Systems, methods and computer readable media for exposure quality detection are described. In some implementations, a method can include computing an overall image exposure score for an image. The method can also include determining one or more face regions in the image. The method can further include computing a face region exposure score for each face region. The method can also include combining the overall image exposure score and each face region exposure score to generate an exposure quality score for the image.
Abstract translation: 描述了用于曝光质量检测的系统，方法和计算机可读介质。 在一些实现中，一种方法可以包括计算图像的整体图像曝光分数。 该方法还可以包括确定图像中的一个或多个面部区域。 该方法还可以包括计算每个面部区域的面部区域曝光得分。 该方法还可以包括整合图像曝光得分和每个面部区域曝光得分以产生图像的曝光质量分数。
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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：US09247106B2
公开(公告)日：2016-01-26
申请号：US14665350
申请日：2015-03-23
Applicant: Google Inc.
Inventor： Aravind Krishnaswamy , Nicholas Butko , David Cohen
IPC: G06K9/00 , H04N1/60 , H04N9/64 , H04N9/73 , H04N21/44 , H04N21/4402 , H04N21/4788 , H04N21/81
CPC classification number: H04N1/6027 , H04N1/6072 , H04N1/6075 , H04N1/6077 , H04N1/6086 , H04N9/643 , H04N9/73 , H04N21/44008 , H04N21/4402 , H04N21/4788 , H04N21/8153
Abstract: In some implementations, a method provides color corrections based on multiple images. In some implementations, a method includes determining one or more characteristics of each of a plurality of source images and determining one or more similarities between the one or more characteristics of different source images. The source images are grouped into one or more groups of one or more target images based on the determined similarities. The method determines and applies one or more color corrections to the one or more target images in at least one of the groups.
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