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公开(公告)号：US11138517B2
公开(公告)日：2021-10-05
申请号：US15674910
申请日：2017-08-11
Applicant: Google Inc.
Inventor： Pannag Sanketi , Wolfgang Grieskamp , Daniel Ramage , Hrishikesh Aradhye , Shiyu Hu
Abstract: The present disclosure provides systems and methods for on-device machine learning. In particular, the present disclosure is directed to an on-device machine learning platform and associated techniques that enable on-device prediction, training, example collection, and/or other machine learning tasks or functionality. The on-device machine learning platform can include a context provider that securely injects context features into collected training examples and/or client-provided input data used to generate predictions/inferences. Thus, the on-device machine learning platform can enable centralized training example collection, model training, and usage of machine-learned models as a service to applications or other clients.
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公开(公告)号：US10122983B1
公开(公告)日：2018-11-06
申请号：US13786395
申请日：2013-03-05
Applicant: Google Inc.
Inventor： David Ross , Hrishikesh Aradhye , Douglas Eck , Christopher Tim Althoff
IPC: H04N9/802 , G11B27/00 , G11B27/022 , G11B27/031 , G06F17/30
Abstract: Systems and methods described herein relate to automation of video creation for an associated audio file or musical composition. In particular, a video can be generated for the audio file that includes images and videos that are compelling and contextually relevant to, and technically compatible with, the audio file.
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公开(公告)号：US20160012066A1
公开(公告)日：2016-01-14
申请号：US14858921
申请日：2015-09-18
Applicant: Google Inc.
Inventor： Huazhong Ning , Hrishikesh Aradhye
IPC: G06F17/30 , G01C21/28 , G06F3/0482 , G06F3/0484 , G06K9/00 , G06T11/20
CPC classification number: G06F17/3082 , G01C21/28 , G06F3/0482 , G06F3/04842 , G06F17/30241 , G06F17/30554 , G06F17/30572 , G06F17/3087 , G06K9/00476 , G06K9/00718 , G06T11/206 , H04N21/25841 , H04N21/4524 , H04N21/472 , H04N21/4725
Abstract: A system and method for associating videos with geographic locations is disclosed. The system comprises a communication module, a location module, a tagging module and a database association module. The communication module receives a video uploaded by a content provider and a set of video data describing the video. The location module determines that the video describes a geographic location included in a geographic map based at least in part on the video data. The tagging module determines one or more travelling tags for the video based at least in part on the video data. The database association module associates the video and the one or more travelling tags with the geographic location so that the video with the one or more travelling tags is included in the geographic map.
Abstract translation: 公开了一种用于将视频与地理位置相关联的系统和方法。 该系统包括通信模块，位置模块，标签模块和数据库关联模块。 通信模块接收由内容提供商上传的视频和描述该视频的一组视频数据。 位置模块至少部分地基于视频数据来确定视频描述包括在地理地图中的地理位置。 至少部分地基于视频数据，标签模块确定用于视频的一个或多个旅行标签。 数据库关联模块将视频与一个或多个旅行标签与地理位置相关联，使得具有一个或多个旅行标签的视频包括在地理地图中。
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公开(公告)号：US09148619B2
公开(公告)日：2015-09-29
申请号：US14243692
申请日：2014-04-02
Applicant: Google Inc.
Inventor： Tomas Izo , Hrishikesh Aradhye , Bilson Campana , Gal Chechik
IPC: H04N5/92 , H04N5/91 , H04N5/76 , H04N21/44 , H04N21/482 , H04N21/658 , H04N21/81 , G06F17/30
CPC classification number: H04N5/91 , G06F17/30755 , H04N5/76 , H04N21/44008 , H04N21/4826 , H04N21/6582 , H04N21/8113
Abstract: A system and method provide a soundtrack recommendation service for recommending one or more soundtrack for a video (i.e., a probe video). A feature extractor of the recommendation service extracts a set of content features of the probe video and generates a set of semantic features represented by a signature vector of the probe video. A video search module of the recommendation service is configured to search for a number of video candidates, each of which is semantically similar to the probe video and has an associated soundtrack. A video outlier identification module of the recommendation service identifies video candidates having an atypical use of their soundtracks and ranks the video candidates based on the typicality of their soundtrack usage. A soundtrack recommendation module selects the soundtracks of the top ranked video candidates as the soundtrack recommendations to the probe video.
Abstract translation: 一种系统和方法提供一种配音推荐服务，用于为视频（即，探测视频）推荐一个或多个音带。 推荐服务的特征提取器提取探测视频的一组内容特征，并生成由探测视频的签名矢量表示的一组语义特征。 推荐服务的视频搜索模块被配置为搜索多个视频候选，其中每个视频候选者在语义上类似于探测视频并且具有相关联的音带。 推荐服务的视频异常值识别模块识别具有非正式使用其音轨的视频候选者，并且基于其音轨使用的典型性来排列视频候选。 音轨推荐模块选择顶级视频候选的音轨作为探测视频的配乐推荐。
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公开(公告)号：US20190050749A1
公开(公告)日：2019-02-14
申请号：US15674910
申请日：2017-08-11
Applicant: Google Inc.
Inventor： Pannag Sanketi , Wolfgang Grieskamp , Daniel Ramage , Hrishikesh Aradhye , Shiyu Hu
Abstract: The present disclosure provides systems and methods for on-device machine learning. In particular, the present disclosure is directed to an on-device machine learning platform and associated techniques that enable on-device prediction, training, example collection, and/or other machine learning tasks or functionality. The on-device machine learning platform can include a context provider that securely injects context features into collected training examples and/or client-provided input data used to generate predictions/inferences. Thus, the on-device machine learning platform can enable centralized training example collection, model training, and usage of machine-learned models as a service to applications or other clients.
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Patent Agency Ranking
公开(公告)号：US11328218B1
公开(公告)日：2022-05-10
申请号：US15805060
申请日：2017-11-06
Applicant: Google Inc.
Inventor： Hrishikesh Aradhye , Sanketh Shetty
IPC: G06N20/00 , G06F16/2457
Abstract: A system and method for identifying and predicting subjective attributes for entities (e.g., media clips, movies, television shows, images, newspaper articles, blog entries, persons, organizations, commercial businesses, etc.) are disclosed. In one aspect, subjective attributes for a first media item are identified based on a reaction to the first media item, and relevancy scores for the subjective attributes with respect to the first media item are determined. A classifier is trained using (i) a training input comprising a set of features for the first media item, and a target output for the training input, the target output comprising the respective relevancy scores for the subjective attributes with respect to the first media item.
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公开(公告)号：US20190050746A1
公开(公告)日：2019-02-14
申请号：US15674885
申请日：2017-08-11
Applicant: Google Inc.
Inventor： Pannag Sanketi , Wolfgang Grieskamp , Daniel Ramage , Hrishikesh Aradhye
Abstract: The present disclosure provides systems and methods for on-device machine learning. In particular, the present disclosure is directed to an on-device machine learning platform and associated techniques that enable on-device prediction, training, example collection, and/or other machine learning tasks or functionality. The on-device machine learning platform can include a context provider that securely injects context features into collected training examples and/or client-provided input data used to generate predictions/inferences. Thus, the on-device machine learning platform can enable centralized training example collection, model training, and usage of machine-learned models as a service to applications or other clients.
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8.发明授权公开(公告)号：US09282330B1
公开(公告)日：2016-03-08
申请号：US14301309
申请日：2014-06-10
Applicant: Google Inc.
Inventor： Gal Chechik , Xiaoquan Yi , Hrishikesh Aradhye
CPC classification number: G06T9/20 , G06F17/30026 , G06F21/10 , H04N19/115 , H04N19/136 , H04N19/154
Abstract: Disclosed herein are methods and apparatuses for compressing a video signal. In one embodiment, the method includes storing a function derived from a set of human ratings in a memory, identifying within at least a portion of the video signal at least one content-based feature, inputting the at least one identified content-based feature into the stored function, determining a compression ratio based on the function using a processor and generating a compressed video signal at the determined compression ratio.
Abstract translation: 这里公开了用于压缩视频信号的方法和装置。 在一个实施例中，该方法包括将从一组人类等级导出的功能存储在存储器中，在视频信号的至少一部分内识别至少一个基于内容的特征，将至少一个所识别的基于内容的特征输入到 所存储的功能，基于使用处理器的功能确定压缩比并且以所确定的压缩比产生压缩视频信号。
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公开(公告)号：US20140212106A1
公开(公告)日：2014-07-31
申请号：US14243692
申请日：2014-04-02
Applicant: Google Inc.
Inventor： Tomas Izo , Hrishikesh Aradhye , Bilson Campana , Gal Chechik
CPC classification number: H04N5/91 , G06F17/30755 , H04N5/76 , H04N21/44008 , H04N21/4826 , H04N21/6582 , H04N21/8113
Abstract: A system and method provide a soundtrack recommendation service for recommending one or more soundtrack for a video (i.e., a probe video). A feature extractor of the recommendation service extracts a set of content features of the probe video and generates a set of semantic features represented by a signature vector of the probe video. A video search module of the recommendation service is configured to search for a number of video candidates, each of which is semantically similar to the probe video and has an associated soundtrack. A video outlier identification module of the recommendation service identifies video candidates having an atypical use of their soundtracks and ranks the video candidates based on the typicality of their soundtrack usage. A soundtrack recommendation module selects the soundtracks of the top ranked video candidates as the soundtrack recommendations to the probe video.
Abstract translation: 一种系统和方法提供一种配音推荐服务，用于为视频（即，探测视频）推荐一个或多个音带。 推荐服务的特征提取器提取探测视频的一组内容特征，并生成由探测视频的签名矢量表示的一组语义特征。 推荐服务的视频搜索模块被配置为搜索多个视频候选，其中每个视频候选者在语义上类似于探测视频并且具有相关联的音带。 推荐服务的视频异常值识别模块识别具有非正式使用其音轨的视频候选者，并且基于其音轨使用的典型性来排列视频候选。 音轨推荐模块选择顶级视频候选的音轨作为探测视频的配乐推荐。
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公开(公告)号：US09817895B2
公开(公告)日：2017-11-14
申请号：US14858921
申请日：2015-09-18
Applicant: Google Inc.
Inventor： Huazhong Ning , Hrishikesh Aradhye
IPC: H04N21/4725 , G06F17/30 , H04N21/472 , H04N21/258 , H04N21/45 , G01C21/28 , G06F3/0482 , G06F3/0484 , G06K9/00 , G06T11/20
CPC classification number: G06F17/3082 , G01C21/28 , G06F3/0482 , G06F3/04842 , G06F17/30241 , G06F17/30554 , G06F17/30572 , G06F17/3087 , G06K9/00476 , G06K9/00718 , G06T11/206 , H04N21/25841 , H04N21/4524 , H04N21/472 , H04N21/4725
Abstract: A system and method for associating videos with geographic locations is disclosed. The system comprises a communication module, a location module, a tagging module and a database association module. The communication module receives a video uploaded by a content provider and a set of video data describing the video. The location module determines that the video describes a geographic location included in a geographic map based at least in part on the video data. The tagging module determines one or more travelling tags for the video based at least in part on the video data. The database association module associates the video and the one or more travelling tags with the geographic location so that the video with the one or more travelling tags is included in the geographic map.
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