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公开(公告)号：US09852363B1
公开(公告)日：2017-12-26
申请号：US14987955
申请日：2016-01-05
Applicant: Google Inc.
Inventor： Jonathon Shlens , Quoc V. Le , Gregory Sean Corrado , Marc'Aurelio Ranzato
CPC classification number: G06K9/627 , G06F17/30244 , G06F17/30247 , G06F17/30268 , G06F17/3079 , G06F17/30843 , G06K9/6215 , G06K9/6255 , G06K9/6256
Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating labeled images. One of the methods includes selecting a plurality of candidate videos from videos identified in a response to a search query derived from a label for an object category; selecting one or more initial frames from each of the candidate videos; detecting one or more initial images of objects in the object category in the initial frames; for each initial frame including an initial image of an object in the object category, tracking the object through surrounding frames to identify additional images of the object; and selecting one or more images from the one or more initial images and one or more additional images as database images of objects belonging to the object category.
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公开(公告)号：US20150178596A1
公开(公告)日：2015-06-25
申请号：US14135816
申请日：2013-12-20
Applicant: Google Inc.
Inventor： Samy Bengio , Jeffrey Adgate Dean , Quoc Le , Jonathon Shlens , Yoram Singer
CPC classification number: G06K9/723 , G06K9/00677 , G06K9/6212 , G06K9/72 , G06K2009/6213 , G06N7/005 , G06N99/005
Abstract: Systems and techniques are disclosed for labeling objects within an image. The objects may be labeled by selecting an option from a plurality of options such that each option is a potential label for the object. An option may have an option score associated with. Additionally, a relation score may be calculated for a first option and a second option corresponding to a second object in an image. The relation score may be based on a frequency, probability, or observance corresponding to the co-occurrence of text associated with the first option and the second option in a text corpus such as the World Wide Web. An option may be selected as a label for an object based on a global score calculated based at least on an option score and relation score associated with the option.
Abstract translation: 公开了用于标记图像内的对象的系统和技术。 可以通过从多个选项中选择选项来标记对象，使得每个选项是对象的潜在标签。 选项可能具有与之相关联的选项分数。 另外，可以针对与图像中的第二对象相对应的第一选项和第二选项来计算关系得分。 关系得分可以基于与诸如万维网的文本语料库中与第一选项和第二选项相关联的文本的共现对应的频率，概率或符号。 可以基于至少基于与选项相关联的期权分数和关系分数计算的全局分数来选择对象的标签作为标签。
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公开(公告)号：US20130212100A1
公开(公告)日：2013-08-15
申请号：US13726951
申请日：2012-12-26
Applicant: Google Inc.
Inventor： Nissan Hajaj , Jonathon Shlens , Carrie Grimes Bostock , Eric Tassone , Daniel Ford
IPC: G06F17/30
CPC classification number: G06F16/93 , G06F16/38 , G06F16/951
Abstract: One aspect of the disclosure can be embodied in a method that includes obtaining a first document from a corpus and obtaining metadata for the first document. The method also includes obtaining existing change rates for second documents selected based on the metadata, and calculating an estimated change rate for the first document based on the change rates for the second documents.
Abstract translation: 本公开的一个方面可以以包括从语料库获得第一文档并获得第一文档的元数据的方法来实现。 该方法还包括获得基于元数据选择的第二文档的现有变化率，以及基于第二文档的变化率来计算第一文档的估计变化率。
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公开(公告)号：US20170220906A1
公开(公告)日：2017-08-03
申请号：US15488041
申请日：2017-04-14
Applicant: Google Inc.
Inventor： Samy Bengio , Jeffrey Adgate Dean , Quoc V. Le , Jonathon Shlens , Yoram Singer
CPC classification number: G06K9/723 , G06K9/00677 , G06K9/6212 , G06K9/72 , G06K2009/6213 , G06N7/005 , G06N20/00
Abstract: Systems and techniques are disclosed for labeling objects within an image. The objects may be labeled by selecting an option from a plurality of options such that each option is a potential label for the object. An option may have an option score associated with. Additionally, a relation score may be calculated for a first option and a second option corresponding to a second object in an image. The relation score may be based on a frequency, probability, or observance corresponding to the co-occurrence of text associated with the first option and the second option in a text corpus such as the World Wide Web. An option may be selected as a label for an object based on a global score calculated based at least on an option score and relation score associated with the option.
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Patent Agency Ranking
公开(公告)号：US20160378863A1
公开(公告)日：2016-12-29
申请号：US14749436
申请日：2015-06-24
Applicant: Google Inc.
Inventor： Jonathon Shlens , George Dan Toderici , Sami Ahmad Abu-El-Haija
CPC classification number: G06F16/739 , G06F16/783 , G06K9/00751 , G06N3/0454 , G06N3/08
Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for selecting representative frames for videos. One of the methods includes receiving a search query; determining a query representation for the search query; obtaining data identifying a plurality of responsive videos for the search query, wherein each responsive video comprises a plurality of frames, wherein each frame has a respective frame representation; selecting, for each responsive video, a representative frame from the responsive video using the query representation and the frame representations for the frames in the responsive video; and generating a response to the search query, wherein the response to the search query includes a respective video search result for each of the responsive videos, and wherein the respective video search result for each of the responsive videos includes a presentation of the representative video frame from the responsive video.
Abstract translation: 方法，系统和装置，包括在计算机存储介质上编码的计算机程序，用于为视频选择代表性帧。 其中一种方法包括接收搜索查询; 确定搜索查询的查询表示; 获取识别搜索查询的多个响应视频的数据，其中每个响应视频包括多个帧，其中每个帧具有相应的帧表示; 对于每个响应视频，使用查询表示和响应视频中的帧的帧表示从响应视频中选择代表帧; 以及产生对所述搜索查询的响应，其中对所述搜索查询的所述响应包括每个所述响应视频的相应视频搜索结果，并且其中每个响应视频的相应视频搜索结果包括所述代表性视频帧的呈现 从响应视频。
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公开(公告)号：US20170140272A1
公开(公告)日：2017-05-18
申请号：US15349901
申请日：2016-11-11
Applicant: Google Inc.
Inventor： Ian Goodfellow , Tianqi Chen , Jonathon Shlens
Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating a larger neural network from a smaller neural network. In one aspect, a method includes obtaining data specifying an original neural network; generating a larger neural network from the original neural network, wherein the larger neural network has a larger neural network structure including the plurality of original neural network units and a plurality of additional neural network units not in the original neural network structure; initializing values of the parameters of the original neural network units and the additional neural network units so that the larger neural network generates the same outputs from the same inputs as the original neural network; and training the larger neural network to determine trained values of the parameters of the original neural network units and the additional neural network units from the initialized values.
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公开(公告)号：US09652695B2
公开(公告)日：2017-05-16
申请号：US14135816
申请日：2013-12-20
Applicant: Google Inc.
Inventor： Samy Bengio , Jeffrey Adgate Dean , Quoc Le , Jonathon Shlens , Yoram Singer
CPC classification number: G06K9/723 , G06K9/00677 , G06K9/6212 , G06K9/72 , G06K2009/6213 , G06N7/005 , G06N99/005
Abstract: Systems and techniques for labeling objects within an image. The objects may be labeled by selecting an option from a plurality of options such that each option is a potential label for the object. An option may have an option score associated with. Additionally, a relation score may be calculated for a first option and a second option corresponding to a second object in an image. The relation score may be based on a frequency, probability, or observance corresponding to the co-occurrence of text associated with the first option and the second option in a text corpus such as the World Wide Web. An option may be selected as a label for an object based on a global score calculated based at least on an option score and relation score associated with the option.
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公开(公告)号：US09256807B1
公开(公告)日：2016-02-09
申请号：US13803642
申请日：2013-03-14
Applicant: Google Inc.
Inventor： Jonathon Shlens , Quoc V. Le , Gregory S. Corrado , Marc'Aurelio Ranzato
CPC classification number: G06K9/627 , G06F17/30244 , G06F17/30247 , G06F17/30268 , G06F17/3079 , G06F17/30843 , G06K9/6215 , G06K9/6255 , G06K9/6256
Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating labeled images. One of the methods includes selecting a plurality of candidate videos from videos identified in a response to a search query derived from a label for an object category; selecting one or more initial frames from each of the candidate videos; detecting one or more initial images of objects in the object category in the initial frames; for each initial frame including an initial image of an object in the object category, tracking the object through surrounding frames to identify additional images of the object; and selecting one or more images from the one or more initial images and one or more additional images as database images of objects belonging to the object category.
Abstract translation: 方法，系统和装置，包括在计算机存储介质上编码的计算机程序，用于生成标记图像。 方法之一包括从对于从对象类别的标签导出的搜索查询的响应中识别的视频中选择多个候选视频; 从每个候选视频中选择一个或多个初始帧; 检测初始帧中对象类别中的对象的一个或多个初始图像; 对于包括对象类别中的对象的初始图像的每个初始帧，通过周围帧跟踪对象以识别对象的附加图像; 以及从一个或多个初始图像和一个或多个附加图像中选择一个或多个图像作为属于对象类别的对象的数据库图像。
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公开(公告)号：US20150178383A1
公开(公告)日：2015-06-25
申请号：US14576907
申请日：2014-12-19
Applicant: Google Inc.
Inventor： Gregory Sean Corrado , Tomas Mikolov , Samy Bengio , Yoram Singer , Jonathon Shlens , Andrea L. Frome , Jeffrey Adgate Dean , Mohammad Norouzi
IPC: G06F17/30
Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for classifying data objects. One of the methods includes obtaining data that associates each term in a vocabulary of terms with a respective high-dimensional representation of the term; obtaining classification data for a data object, wherein the classification data includes a respective score for each of a plurality of categories, and wherein each of the categories is associated with a respective category label; computing an aggregate high-dimensional representation for the data object from high-dimensional representations for the category labels associated with the categories and the respective scores; identifying a first term in the vocabulary of terms having a high-dimensional representation that is closest to the aggregate high-dimensional representation; and selecting the first term as a category label for the data object.
Abstract translation: 方法，系统和装置，包括在计算机存储介质上编码的计算机程序，用于对数据对象进行分类。 其中一种方法包括获得将术语词汇中的每个术语与该术语的相应高维表示相关联的数据; 获取数据对象的分类数据，其中分类数据包括多个类别中的每一个的相应分数，并且其中每个类别与相应的分类标签相关联; 从与类别和相应分数相关联的类别标签的高维表示中计算数据对象的聚合高维表示; 识别具有最接近聚合高维表示的高维表示的术语词汇表中的第一项; 并选择第一项作为数据对象的类别标签。
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