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公开(公告)号：US20180239995A1
公开(公告)日：2018-08-23
申请号：US15962514
申请日：2018-04-25
发明人： Zhaowen Wang , Luoqi Liu , Hailin Jin
CPC分类号： G06K9/6828 , G06K9/00442 , G06K9/46 , G06K9/4628 , G06K9/52 , G06K9/6272 , G06K9/66 , G06K2009/4666 , G06K2209/01 , G06N3/0454 , G06T3/40 , G06T7/60
摘要： Font recognition and similarity determination techniques and systems are described. In a first example, localization techniques are described to train a model using machine learning (e.g., a convolutional neural network) using training images. The model is then used to localize text in a subsequently received image, and may do so automatically and without user intervention, e.g., without specifying any of the edges of a bounding box. In a second example, a deep neural network is directly learned as an embedding function of a model that is usable to determine font similarity. In a third example, techniques are described that leverage attributes described in metadata associated with fonts as part of font recognition and similarity determinations.
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公开(公告)号：US20170098140A1
公开(公告)日：2017-04-06
申请号：US14876609
申请日：2015-10-06
发明人： Zhaowen Wang , Luoqi Liu , Hailin Jin
CPC分类号： G06K9/6828 , G06K9/00442 , G06K9/46 , G06K9/4628 , G06K9/52 , G06K9/6272 , G06K9/66 , G06K2009/4666 , G06K2209/01 , G06N3/0454 , G06T3/40 , G06T7/60
摘要： Font recognition and similarity determination techniques and systems are described. In a first example, localization techniques are described to train a model using machine learning (e.g., a convolutional neural network) using training images. The model is then used to localize text in a subsequently received image, and may do so automatically and without user intervention, e.g., without specifying any of the edges of a bounding box. In a second example, a deep neural network is directly learned as an embedding function of a model that is usable to determine font similarity. In a third example, techniques are described that leverage attributes described in metadata associated with fonts as part of font recognition and similarity determinations.
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公开(公告)号：US09875429B2
公开(公告)日：2018-01-23
申请号：US14876667
申请日：2015-10-06
发明人： Zhaowen Wang , Luoqi Liu , Hailin Jin
CPC分类号： G06K9/6257 , G06K9/4628 , G06K9/6272 , G06K9/6277 , G06K9/66 , G06K9/6828 , G06K2209/01 , G06N3/0454
摘要： Font recognition and similarity determination techniques and systems are described. In a first example, localization techniques are described to train a model using machine learning (e.g., a convolutional neural network) using training images. The model is then used to localize text in a subsequently received image, and may do so automatically and without user intervention, e.g., without specifying any of the edges of a bounding box. In a second example, a deep neural network is directly learned as an embedding function of a model that is usable to determine font similarity. In a third example, techniques are described that leverage attributes described in metadata associated with fonts as part of font recognition and similarity determinations.
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公开(公告)号：US20170098138A1
公开(公告)日：2017-04-06
申请号：US14876667
申请日：2015-10-06
发明人： Zhaowen Wang , Luoqi Liu , Hailin Jin
CPC分类号： G06K9/6257 , G06K9/4628 , G06K9/6272 , G06K9/6277 , G06K9/66 , G06K9/6828 , G06K2209/01 , G06N3/0454
摘要： Font recognition and similarity determination techniques and systems are described. In a first example, localization techniques are described to train a model using machine learning (e.g., a convolutional neural network) using training images. The model is then used to localize text in a subsequently received image, and may do so automatically and without user intervention, e.g., without specifying any of the edges of a bounding box. In a second example, a deep neural network is directly learned as an embedding function of a model that is usable to determine font similarity. In a third example, techniques are described that leverage attributes described in metadata associated with fonts as part of font recognition and similarity determinations.
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公开(公告)号：US10074042B2
公开(公告)日：2018-09-11
申请号：US14876609
申请日：2015-10-06
发明人： Zhaowen Wang , Luoqi Liu , Hailin Jin
CPC分类号： G06K9/6828 , G06K9/00442 , G06K9/46 , G06K9/4628 , G06K9/52 , G06K9/6272 , G06K9/66 , G06K2009/4666 , G06K2209/01 , G06N3/0454 , G06T3/40 , G06T7/60
摘要： Font recognition and similarity determination techniques and systems are described. In a first example, localization techniques are described to train a model using machine learning (e.g., a convolutional neural network) using training images. The model is then used to localize text in a subsequently received image, and may do so automatically and without user intervention, e.g., without specifying any of the edges of a bounding box. In a second example, a deep neural network is directly learned as an embedding function of a model that is usable to determine font similarity. In a third example, techniques are described that leverage attributes described in metadata associated with fonts as part of font recognition and similarity determinations.
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公开(公告)号：US20180114097A1
公开(公告)日：2018-04-26
申请号：US15853120
申请日：2017-12-22
发明人： Zhaowen Wang , Luoqi Liu , Hailin Jin
CPC分类号： G06K9/6257 , G06K9/4628 , G06K9/6272 , G06K9/6277 , G06K9/66 , G06K9/6828 , G06K2209/01 , G06N3/0454
摘要： Font recognition and similarity determination techniques and systems are described. In a first example, localization techniques are described to train a model using machine learning (e.g., a convolutional neural network) using training images. The model is then used to localize text in a subsequently received image, and may do so automatically and without user intervention, e.g., without specifying any of the edges of a bounding box. In a second example, a deep neural network is directly learned as an embedding function of a model that is usable to determine font similarity. In a third example, techniques are described that leverage attributes described in metadata associated with fonts as part of font recognition and similarity determinations.
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