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公开(公告)号：US20140355907A1
公开(公告)日：2014-12-04
申请号：US14290214
申请日：2014-05-29
Applicant: Yahoo! Inc.
Inventor： Gerry Pesavento , Huy X. Nguyen
CPC classification number: G06F17/30038 , G06F17/30041 , G06F17/30044 , G06K9/00664 , G06K2209/27
Abstract: In one embodiment, a set of tags that has been generated by performing computer vision analysis of image content of a visual media item may be obtained, where each tag of the set of tags has a corresponding probability. In addition, a set of information that is independent from the image content of the visual media item may be obtained. The probability of at least a portion of the set of tags may be modified based, at least in part, upon the set of information.
Abstract translation: 在一个实施例中，可以获得通过执行视觉媒体项目的图像内容的计算机视觉分析而生成的一组标签，其中该组标签中的每个标签具有相应的概率。 此外，可以获得独立于视觉媒体项目的图像内容的一组信息。 至少部分地基于该组信息来修改该组标签的至少一部分的概率。
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公开(公告)号：US09727565B2
公开(公告)日：2017-08-08
申请号：US14290214
申请日：2014-05-29
Applicant: Yahoo! Inc.
Inventor： Gerry Pesavento , Huy X. Nguyen
CPC classification number: G06F17/30038 , G06F17/30041 , G06F17/30044 , G06K9/00664 , G06K2209/27
Abstract: In one embodiment, a set of tags that has been generated by performing computer vision analysis of image content of a visual media item may be obtained, where each tag of the set of tags has a corresponding probability. In addition, a set of information that is independent from the image content of the visual media item may be obtained. The probability of at least a portion of the set of tags may be modified based, at least in part, upon the set of information.
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3.发明授权公开(公告)号：US09672445B2
公开(公告)日：2017-06-06
申请号：US14816516
申请日：2015-08-03
Applicant: YAHOO! INC.
Inventor： Simon Kayode Osindero , Frank Liu , Gerry Pesavento , Miriam Redi , Lucca Maria Aiello , Anastasia Alexeevna Svetlichnaya
CPC classification number: G06K9/82 , G06F17/30244 , G06F17/30268 , G06K9/036 , G06K9/481 , G06K9/6202 , G06K9/6215 , G06K9/6254 , G06K9/6267 , G06K9/66 , G06K9/78 , H04N5/23222 , H04N21/4828
Abstract: Disclosed are systems and methods for improving interactions with and between computers in a content generating, hosting and/or providing system supported by or configured with personal computing devices, servers and/or platforms. The systems interact to identify and retrieve data across platforms, which can be used to improve the quality of data used in processing interactions between or among processors in such systems. The disclosed systems and methods provide systems and methods for automatic discovery of high quality digital content. According to embodiments, the present disclosure describes improved computer system and methods directed to analyzing raw image data, such as features and descriptors of images in order to identify a high quality image(s). Such images can be identified from a database of images, and such images can be identified in real-time, or near real-time during the capture of an image(s) by a camera.
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公开(公告)号：US20160162482A1
公开(公告)日：2016-06-09
申请号：US14560252
申请日：2014-12-04
Applicant: Yahoo!, Inc.
Inventor： Gerry Pesavento , Rajiv Vaidyanathan , Nilesh Gattani , Amol Deshmukh , Frank Zijie Liu
CPC classification number: G06F16/5866
Abstract: A first image, associated with a first tag, and/or other images may be presented to a user. A user behavior of the user in regards to the first image may reduce or increase a quality score of the first image. A quality metric of the first image may be determined, and may be used to decrease or increase the quality score of the first image. A rank may be assigned to the first image based upon the modified quality score. The first image may be provided to users based upon the rank.
Abstract translation: 可以向用户呈现与第一标签相关联的第一图像和/或其他图像。 关于第一图像的用户的用户行为可以减少或增加第一图像的质量得分。 可以确定第一图像的质量度量，并且可以用于降低或增加第一图像的质量得分。 可以基于修改的质量得分将等级分配给第一图像。 可以基于等级向用户提供第一图像。
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公开(公告)号：US20140359015A1
公开(公告)日：2014-12-04
申请号：US14290223
申请日：2014-05-29
Applicant: Yahoo! Inc.
Inventor： Gerry Pesavento , Andrew Stadlen
IPC: H04L29/08
CPC classification number: G06Q50/01 , G06F17/30268
Abstract: In one embodiment, a set of tags associated with a media item may be ascertained. One or more of a plurality of individuals may be identified based, at least in part, upon the set of tags associated with the media item and a plurality of sets of sharing preferences, each one of the plurality of sets of sharing preferences being associated with a corresponding one of the plurality of individuals and indicating tags for which media items are to be automatically shared with the corresponding one of the plurality of individuals. Information pertaining to the media item may be shared with the identified individuals.
Abstract translation: 在一个实施例中，可以确定与媒体项目相关联的一组标签。 可以至少部分地基于与媒体项目相关联的标签集合和多组共享偏好来识别多个个体中的一个或多个，所述多个共享偏好集合中的每一个与 所述多个个人中的对应的个人和指示标签，媒体项目将与所述多个个体中的相应个体自动共享。 与媒体项目有关的信息可以与识别的个人共享。
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Patent Agency Ranking
公开(公告)号：US09875512B2
公开(公告)日：2018-01-23
申请号：US14290223
申请日：2014-05-29
Applicant: Yahoo! Inc.
Inventor： Gerry Pesavento , Andrew Stadlen
CPC classification number: G06Q50/01 , G06F17/30268
Abstract: In one embodiment, a set of tags associated with a media item may be ascertained. One or more of a plurality of individuals may be identified based, at least in part, upon the set of tags associated with the media item and a plurality of sets of sharing preferences, each one of the plurality of sets of sharing preferences being associated with a corresponding one of the plurality of individuals and indicating tags for which media items are to be automatically shared with the corresponding one of the plurality of individuals. Information pertaining to the media item may be shared with the identified individuals.
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公开(公告)号：US20170300576A1
公开(公告)日：2017-10-19
申请号：US15097658
申请日：2016-04-13
Applicant: YAHOO! INC.
Inventor： Simon Osindero , Ioannis Kalantidis , David Shamma , Lyndon Kennedy , Ayman Farahat , Gerry Pesavento , Ricardo Baeza-Yates
CPC classification number: G06F16/9535 , G06F16/50 , H04L67/10
Abstract: Disclosure includes system, method and architecture for selecting supplemental digital content using visual appearance. Digital content that is visually similar, or dissimilar, to digital content requested by a user can he identified and provided for presentation with the requested content. The additional digital content is visually congruent, or visually incongruent, with content requested by a user, such that the additional content is similar, or dissimilar, to the requested content from a visual standpoint. In a presentation of the requested content, the presentation position of each additional content item relative to the presentation position of each requested content can be identified using visual congruence, or visual incongruence.
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8.发明申请公开(公告)号：US20170339093A1
公开(公告)日：2017-11-23
申请号：US15161883
申请日：2016-05-23
Applicant: YAHOO! INC.
Inventor： Gerry Pesavento , Anastasia Svetlichnaya , Pierre Garrigues , Rob Hess
CPC classification number: H04L51/32 , G06F17/30035 , G06F17/30867 , G06N3/063 , G06Q30/0269 , G06Q50/01 , H04L43/08 , H04L67/10 , H04W4/08 , H04W4/21
Abstract: Disclosed are systems and methods for improving interactions with and between computers in content generating, searching, hosting and/or providing systems supported by or configured with personal computing devices, servers and/or platforms. The systems interact to identify and retrieve data within or across platforms, which can be used to improve the quality of data used in processing interactions between or among processors in such systems. The disclosed systems and methods automatically identify and communicate media content to users as the media content is uploaded to the internet. The disclosed systems and methods leverage an internet hosted data firehose in order to build and communicate streams of content that are relevant to users' determined interests. Real-time analysis of the continuous stream of content results in curated media streams being created and communicated to users thereby stimulating social interactivity between users and automating the discovery of other users on a network.
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9.发明申请公开(公告)号：US20170255845A1
公开(公告)日：2017-09-07
申请号：US15599525
申请日：2017-05-19
Applicant: YAHOO! INC.
Inventor： Simon Kayode Osindero , Frank Liu , Gerry Pesavento , Miriam Redi , Lucca Maria Aiello , Anastasia Alexeevna Svetlichnaya
CPC classification number: G06K9/82 , G06F16/50 , G06F16/5866 , G06K9/036 , G06K9/481 , G06K9/6202 , G06K9/6215 , G06K9/6254 , G06K9/6267 , G06K9/66 , G06K9/78 , H04N5/23222 , H04N21/4828
Abstract: Disclosed are systems and methods for improving interactions with and between computers in a content generating, hosting and/or providing system supported by or configured with personal computing devices, servers and/or platforms. The systems interact to identify and retrieve data across platforms, which can be used to improve the quality of data used in processing interactions between or among processors in such systems. The disclosed systems and methods provide systems and methods for automatic discovery of high quality digital content. According to embodiments, the present disclosure describes improved computer system and methods directed to analyzing raw image data, such as features and descriptors of images in order to identify a high quality image(s). Such images can be identified from a database of images, and such images can be identified in real-time, or near real-time during the capture of an image(s) by a camera.
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10.发明申请COMPUTERIZED METHOD AND SYSTEM FOR AUTOMATED DETERMINATION OF HIGH QUALITY DIGITAL CONTENT 有权用于自动确定高质量数字内容的计算机方法和系统公开(公告)号：US20170039452A1
公开(公告)日：2017-02-09
申请号：US14816516
申请日：2015-08-03
Applicant: YAHOO! INC.
Inventor： Simon Kayode Osindero , Frank Liu , Gerry Pesavento , Miriam Redi , Lucca Maria Aiello , Anastasia Alexeevna Svetlichnaya
CPC classification number: G06K9/82 , G06F17/30244 , G06F17/30268 , G06K9/036 , G06K9/481 , G06K9/6202 , G06K9/6215 , G06K9/6254 , G06K9/6267 , G06K9/66 , G06K9/78 , H04N5/23222 , H04N21/4828
Abstract: Disclosed are systems and methods for improving interactions with and between computers in a content generating, hosting and/or providing system supported by or configured with personal computing devices, servers and/or platforms. The systems interact to identify and retrieve data across platforms, which can be used to improve the quality of data used in processing interactions between or among processors in such systems. The disclosed systems and methods provide systems and methods for automatic discovery of high quality digital content. According to embodiments, the present disclosure describes improved computer system and methods directed to analyzing raw image data, such as features and descriptors of images in order to identify a high quality image(s). Such images can be identified from a database of images, and such images can be identified in real-time, or near real-time during the capture of an image(s) by a camera.
Abstract translation: 公开了用于改善由个人计算设备，服务器和/或平台支持或配置的内容生成，托管和/或提供系统中的计算机之间以及计算机之间的交互的系统和方法。 系统进行交互以识别和检索跨平台的数据，可用于提高在此类系统中处理器之间或之间的处理之间的交互中使用的数据的质量。 所公开的系统和方法提供用于自动发现高质量数字内容的系统和方法。 根据实施例，本公开描述了改进的计算机系统和方法，其旨在分析原始图像数据，诸如图像的特征和描述符，以便识别高质量图像。 可以从图像的数据库中识别这样的图像，并且可以在由相机捕获图像期间实时或接近实时地识别这样的图像。
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