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公开(公告)号：US09311530B1
公开(公告)日：2016-04-12
申请号：US14520339
申请日：2014-10-21
Applicant: Google Inc.
Inventor： Erik Murphy-Chutorian , Charles Joseph Rosenberg , Shengyang Dai , Ehud Rivlin , Mei Han , Kyle Heath
CPC classification number: G06K9/00456 , G06K9/00221 , G06K9/00677 , G06K9/62 , G06K9/6267 , G06K2009/00328
Abstract: Embodiments generally relate to summarizing a photo album in a social network system. In one embodiment, a method includes grouping photos into a plurality of groups of photos, and selecting a plurality of representative photos, where each representative photo represents a respective group from the plurality of groups, where the selecting is based on a quality score of each of the photos, and where each quality score is based on different types of attributes. The method also includes enabling the plurality of representative photos to be shared.
Abstract translation: 实施例通常涉及在社交网络系统中总结相册。 在一个实施例中，一种方法包括将照片分组成多组照片，并且选择多个代表照片，其中每个代表照片表示来自多个组的相应组，其中选择基于每个组的质量得分 的照片，每个质量得分都是基于不同类型的属性。 该方法还包括使多个代表性照片能够共享。
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公开(公告)号：US09286710B2
公开(公告)日：2016-03-15
申请号：US13894198
申请日：2013-05-14
Applicant: Google Inc.
Inventor： Erik Murphy-Chutorian , Josh Wills , Nicholas Butko , Matthew Steiner , Vivek Kwatra , Dave Cohen
Abstract: Implementations generally relate to generating photo animations. In some implementations, a method includes receives a plurality of photos from a user. The method also includes selecting photos from the plurality of photos that meet one or more predetermined similarity criteria. The method also includes generating an animation using the selected photos.
Abstract translation: 实现通常涉及生成照片动画。 在一些实现中，一种方法包括从用户接收多张照片。 该方法还包括从满足一个或多个预定相似性标准的多个照片中选择照片。 该方法还包括使用所选择的照片生成动画。
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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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公开(公告)号：US09619732B2
公开(公告)日：2017-04-11
申请号：US14791692
申请日：2015-07-06
Applicant: Google Inc.
Inventor： Erik Murphy-Chutorian , Matthew Steiner , Vivek Kwatra , Shengyang Dai , John Spiegel , Nicholas Butko , Falk Sticken , Florian Kriener , Tom Binder , John Flynn , Troy Chinen , Steven Vandebogart , Nikolaos Trogkanis , Ingo Wehmeyer , Matthias Grundmann
CPC classification number: G06K9/6218 , G06F17/30247 , G06K9/00228 , G06K9/00677 , G06T11/60
Abstract: Implementations generally relate to generating compositional media content. In some implementations, a method includes receiving a plurality of photos from a user, and determining one or more composition types from the photos. The method also includes generating compositions from the selected photos based on the one or more determined composition types. The method also includes providing the one or more generated compositions to the user.
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公开(公告)号：US09239747B1
公开(公告)日：2016-01-19
申请号：US14027581
申请日：2013-09-16
Applicant: Google Inc.
Inventor： Matthew Kulick , Erik Murphy-Chutorian , David Cohen
CPC classification number: G06F11/0757 , G06F11/0709 , G06F17/30268
Abstract: Implementations generally relate to improving metadata. In some implementations, a method includes determining timestamps, where the timestamps correspond to images. The method also includes determining one or more reference times based on predetermined metadata. The method also includes detecting a timestamp error in one or more timestamps based on the one or more reference times. The method also includes adjusting each timestamp having a timestamp error based on the one or more reference times.
Abstract translation: 实施通常涉及改进元数据。 在一些实现中，一种方法包括确定时间戳，其中时间戳对应于图像。 该方法还包括基于预定的元数据确定一个或多个参考时间。 该方法还包括基于一个或多个参考时间来检测一个或多个时间戳中的时间戳错误。 该方法还包括基于一个或多个参考时间调整具有时间戳错误的每个时间戳。
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Patent Agency Ranking
公开(公告)号：US20150161170A1
公开(公告)日：2015-06-11
申请号：US14336692
申请日：2014-07-21
Applicant: Google Inc.
Inventor： Yangli Hector Yee , Samy Bengio , Charles J. Rosenberg , Erik Murphy-Chutorian
CPC classification number: G06F17/30253 , G06F17/30244 , G06F17/30864 , G06K9/4676 , G06K9/6256 , G06K9/66 , G06K2209/01
Abstract: An image classification system trains an image classification model to classify images relative to text appearing with the images. Training images are iteratively selected and classified by the image classification model according to feature vectors of the training images. An independent model is trained for unique n-grams of text. The image classification system obtains text appearing with an image and parses the text into candidate labels for the image. The image classification system determines whether an image classification model has been trained for the candidate labels. When an image classification model corresponding to a candidate label has been trained, the image classification subsystem classifies the image relative to the candidate label. The image is labeled based on candidate labels for which the image is classified as a positive image.
Abstract translation: 图像分类系统训练图像分类模型，以便相对于与图像一起出现的文本来分类图像。 根据训练图像的特征向量，通过图像分类模型迭代地选择和分类训练图像。 对独特的n克文本进行了独立的模型训练。 图像分类系统获得与图像一起出现的文本，并将文本解析为图像的候选标签。 图像分类系统确定是否针对候选标签训练了图像分类模型。 当对应于候选标签的图像分类模型已经被训练时，图像分类子系统将图像相对于候选标签进行分类。 基于将图像分类为正图像的候选标签来标记图像。
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公开(公告)号：US08787683B1
公开(公告)日：2014-07-22
申请号：US13910493
申请日：2013-06-05
Applicant: Google Inc.
Inventor： Yangli Hector Yee , Samy Bengio , Charles J. Rosenberg , Erik Murphy-Chutorian
CPC classification number: G06F17/30253 , G06F17/30244 , G06F17/30864 , G06K9/4676 , G06K9/6256 , G06K9/66 , G06K2209/01
Abstract: An image classification system trains an image classification model to classify images relative to text appearing with the images. Training images are iteratively selected and classified by the image classification model according to feature vectors of the training images. An independent model is trained for unique n-grams of text. The image classification system obtains text appearing with an image and parses the text into candidate labels for the image. The image classification system determines whether an image classification model has been trained for the candidate labels. When an image classification model corresponding to a candidate label has been trained, the image classification subsystem classifies the image relative to the candidate label. The image is labeled based on candidate labels for which the image is classified as a positive image.
Abstract translation: 图像分类系统训练图像分类模型，以便相对于与图像一起出现的文本来分类图像。 根据训练图像的特征向量，通过图像分类模型迭代地选择和分类训练图像。 对独特的n克文本进行了独立的模型训练。 图像分类系统获得与图像一起出现的文本，并将文本解析为图像的候选标签。 图像分类系统确定是否针对候选标签训练了图像分类模型。 当对应于候选标签的图像分类模型已经被训练时，图像分类子系统将图像相对于候选标签进行分类。 基于将图像分类为正图像的候选标签来标记图像。
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公开(公告)号：US20190333161A1
公开(公告)日：2019-10-31
申请号：US14326410
申请日：2014-07-08
Applicant: Google Inc.
Inventor： Erik Murphy-Chutorian , Matthew Steiner , Peter Sorotokin
Abstract: Implementations generally relate to providing recommended actions for photos. In some implementations, a method includes obtaining activity data associated with one or more actions of a performing user, wherein the activity data involves at least one first photo. The method further includes performing or suggesting one or more actions to one or more second photos based on one or more predetermined similarity criteria.
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公开(公告)号：US09965882B2
公开(公告)日：2018-05-08
申请号：US15283511
申请日：2016-10-03
Applicant: Google Inc.
Inventor： Erik Murphy-Chutorian , Matthew Steiner , Vahid Kazemi , Shengyang Dai
CPC classification number: G06T11/60 , G06T7/73 , G06T2207/10004 , G06T2207/20221
Abstract: Implementations generally relate to generating image compositions. In some implementations, a method includes receiving a plurality of photos from a user and determining one or more composition types from the photos. The method further includes generating one or more compositions from the received photos based on the one or more determined composition types, where each composition is based on modified foregrounds of the photos. The method further includes providing the one or more generated compositions to the user.
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公开(公告)号：US09691431B2
公开(公告)日：2017-06-27
申请号：US14885285
申请日：2015-10-16
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
CPC classification number: G11B27/036 , G11B27/034 , G11B27/10 , G11B27/105 , G11B27/28 , G11B27/34 , H04N5/2628 , H04N5/7605
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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