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公开(公告)号：US20140267219A1
公开(公告)日：2014-09-18
申请号：US13894814
申请日：2013-05-15
Applicant: YAHOO! INC.
Inventor： Vidit Jain , Sachin Sudhakar Farfade
CPC classification number: G06K9/00228 , G06F17/30247 , G06K9/00221 , G06K9/6256 , G06N7/005
Abstract: Disclosed herein are a system, method and architecture for media content enrichment. A visual object detector is trained using a training data set and an existing visual object detector. The newly-adapted visual object detector may be used to detect a visual object belonging to a class of visual object. The existing object detector that is used to train the adapted object detector detects a class of visual objects different from the visual object class detected by the adapted object detector. A media content item depicting a visual object detected using the adapted object detector may be associated with metadata, tag or other information about the detected visual object to enrich the media content item.
Abstract translation: 这里公开了用于媒体内容丰富的系统，方法和架构。 使用训练数据集和现有的视觉对象检测器训练视觉对象检测器。 新适应的视觉对象检测器可以用于检测属于一类视觉对象的视觉对象。 用于训练适应对象检测器的现有对象检测器检测与适配对象检测器检测到的视觉对象类别不同的一类视觉对象。 描绘使用适配对象检测器检测到的可视对象的媒体内容项目可以与关于检测到的可视对象的元数据，标签或其他信息相关联，以丰富媒体内容项目。
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公开(公告)号：US09519659B2
公开(公告)日：2016-12-13
申请号：US13894814
申请日：2013-05-15
Applicant: YAHOO! INC.
Inventor： Vidit Jain , Sachin Sudhakar Farfade
CPC classification number: G06K9/00228 , G06F17/30247 , G06K9/00221 , G06K9/6256 , G06N7/005
Abstract: Disclosed herein are a system, method and architecture for media content enrichment. A visual object detector is trained using a training data set and an existing visual object detector. The newly-adapted visual object detector may be used to detect a visual object belonging to a class of visual object. The existing object detector that is used to train the adapted object detector detects a class of visual objects different from the visual object class detected by the adapted object detector. A media content item depicting a visual object detected using the adapted object detector may be associated with metadata, tag or other information about the detected visual object to enrich the media content item.
Abstract translation: 这里公开了用于媒体内容丰富的系统，方法和架构。 使用训练数据集和现有的视觉对象检测器训练视觉对象检测器。 新适应的视觉对象检测器可以用于检测属于一类视觉对象的视觉对象。 用于训练适应对象检测器的现有对象检测器检测与适配对象检测器检测到的视觉对象类别不同的一类视觉对象。 描绘使用适配对象检测器检测到的可视对象的媒体内容项目可以与关于检测到的可视对象的元数据，标签或其他信息相关联，以丰富媒体内容项目。
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公开(公告)号：US20180005088A1
公开(公告)日：2018-01-04
申请号：US15198295
申请日：2016-06-30
Applicant: Yahoo! Inc.
Inventor： Sachin Sudhakar Farfade , Vijay Mahadevan , Ayman Kaheel , Ayyappan Arasu , Venkat Kumar Reddy Barakam , Jan Kiran Mahadeokar
CPC classification number: G06K9/6297 , G06F17/30259 , G06K9/00228 , G06K9/036 , G06K9/481 , G06K9/6224
Abstract: Disclosed are systems and methods for automatic selection of canonical digital images from a large corpus of digital images, such as the corpus of digital images available on the web, for an entity, such as and without limitation a person, a point of interest, object, etc. The automated, unsupervised approach for selecting a diverse set of high quality, canonical digital images, is well suited for processing a large corpus of digital images. A set of canonical digital images identified for an entity can be retrieved in response to a digital image request for digital images depicting the entity.
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公开(公告)号：US20170083752A1
公开(公告)日：2017-03-23
申请号：US14859040
申请日：2015-09-18
Applicant: Yahoo! Inc.
Inventor： Mohammad Saberian , Sachin Sudhakar Farfade , Jia Li
CPC classification number: G06T3/40 , G06K9/00248 , G06K9/4628 , G06K9/6272 , G06N3/0454
Abstract: Briefly, embodiments of methods and/or systems of detecting and image of a human face in a digital image are disclosed. For one embodiment, as an example, parameters of a neural network may be developed to generate object labels for digital images. The developed parameters may be refined by a neural network to generate signal sample value levels corresponding to probability that a human face may be depicted at a localized region of a digital image.
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