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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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2.发明申请公开(公告)号：US20170004374A1
公开(公告)日：2017-01-05
申请号：US14755817
申请日：2015-06-30
Applicant: YAHOO! INC.
Inventor： Simon Osindero
CPC classification number: G06T1/20 , G06F17/30253 , G06K9/00476 , G06K9/325 , G06K2209/01 , G06T2207/20084
Abstract: Images that comprise text are identified and output from the images is generated wherein the output comprises text from the image in textual data format. The portions of an image comprising the text data are initially identified and the text imaged by the pixels of that image portion is extracted in textual data format. The extracted text is stored so that a search for images comprising particular text is enabled.
Abstract translation: 识别包含文本的图像，并且生成从图像输出的图像，其中输出包括文本数据格式的来自图像的文本。 首先识别包括文本数据的图像的部分，并以文本数据格式提取由该图像部分的像素成像的文本。 存储提取的文本，使得能够搜索包括特定文本的图像。
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公开(公告)号：US20170046598A1
公开(公告)日：2017-02-16
申请号：US14824561
申请日：2015-08-12
Applicant: YAHOO! INC.
Inventor： Simon Osindero
CPC classification number: G06K9/6256 , G06K9/00711 , G06K9/00718 , G06K9/00744 , G06K9/4671 , G06K9/6269 , G06K9/66 , G06K2009/4666
Abstract: Disclosed herein is an intelligent agent to analyze a media object. The agent comprises a trained model comprising a number of state layers for storing a history of actions taken by the agent in each of a number of previous iterations performed by the agent in analyzing a media object. The stored state may be used by the agent in a current iteration to determine whether or not to make, or abstain from making, a prediction from output generated by the model, identify another portion of the media object to analyze, end analysis. Output from the agent's model may comprise a semantic vector that can be mapped to a semantic vector space to identify a number of labels for a media object.
Abstract translation: 这里公开了一种用于分析媒体对象的智能代理。 代理包括训练模型，其包括多个状态层，用于存储代理在分析媒体对象时由代理执行的多个先前迭代中的每一个中采取的动作历史。 存储状态可以由代理在当前迭代中使用以确定是否对由模型生成的输出进行预测或者不做出，识别要分析的媒体对象的另一部分，结束分析。 来自代理模型的输出可以包括可被映射到语义向量空间以识别媒体对象的多个标签的语义向量。
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公开(公告)号：US09569696B1
公开(公告)日：2017-02-14
申请号：US14824561
申请日：2015-08-12
Applicant: YAHOO! INC.
Inventor： Simon Osindero
CPC classification number: G06K9/6256 , G06K9/00711 , G06K9/00718 , G06K9/00744 , G06K9/4671 , G06K9/6269 , G06K9/66 , G06K2009/4666
Abstract: Disclosed herein is an intelligent agent to analyze a media object. The agent comprises a trained model comprising a number of state layers for storing a history of actions taken by the agent in each of a number of previous iterations performed by the agent in analyzing a media object. The stored state may be used by the agent in a current iteration to determine whether or not to make, or abstain from making, a prediction from output generated by the model, identify another portion of the media object to analyze, end analysis. Output from the agent's model may comprise a semantic vector that can be mapped to a semantic vector space to identify a number of labels for a media object.
Abstract translation: 这里公开了一种用于分析媒体对象的智能代理。 代理包括训练模型，其包括多个状态层，用于存储代理在分析媒体对象时由代理执行的多个先前迭代中的每一个中采取的动作历史。 存储状态可以由代理在当前迭代中使用以确定是否对由模型生成的输出进行预测或者不做出，识别要分析的媒体对象的另一部分，结束分析。 来自代理模型的输出可以包括可被映射到语义向量空间以识别媒体对象的多个标签的语义向量。
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