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公开(公告)号:US11659143B2
公开(公告)日:2023-05-23
申请号:US17348010
申请日:2021-06-15
申请人: eBay Inc.
发明人: Shuai Zheng , Fan Yang , Mohammadhadi Kiapour , Qiaosong Wang , Japjit S. Tulsi , Robinson Piramuthu
IPC分类号: H04N7/18 , G06T11/60 , G06Q30/08 , G06Q30/0601 , G06N20/00 , G06V20/20 , G06F18/214 , H04N23/63 , G06T7/60 , G06F18/2431 , H04N23/61 , G06F3/04842
CPC分类号: H04N7/185 , G06F18/214 , G06N20/00 , G06Q30/0623 , G06Q30/08 , G06T7/60 , G06T11/60 , G06V20/20 , H04N23/63 , G06F3/04842 , G06F18/2431 , G06Q30/0631 , G06Q30/0643 , G06T2210/16 , H04N23/61 , H04N23/631
摘要: Camera platform techniques are described. In an implementation, a plurality of digital images and data describing times, at which, the plurality of digital images are captured is received by a computing device. Objects of clothing are recognized from the digital images by the computing device using object recognition as part of machine learning. A user schedule is also received by the computing device that describes user appointments and times, at which, the appointments are scheduled. A user profile is generated by the computing device by training a model using machine learning based on the recognized objects of clothing, times at which corresponding digital images are captured, and the user schedule. From the user profile, a recommendation is generated by processing a subsequent user schedule using the model as part of machine learning by the computing device.
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公开(公告)号:US20210158046A1
公开(公告)日:2021-05-27
申请号:US17170549
申请日:2021-02-08
申请人: eBay Inc.
发明人: Shuai Zheng , Fan Yang , Mohammadhadi Kiapour , Qiaosong Wang , Japjit S. Tulsi , Robinson Piramuthu
IPC分类号: G06K9/00 , H04N5/232 , G06T11/60 , H04N7/18 , G06Q30/08 , G06Q30/06 , G06K9/66 , G06N20/00 , G06K9/62 , G06K9/78 , G06T7/60
摘要: Camera platform techniques are described. In an implementation, a plurality of digital images and data describing times, at which, the plurality of digital images are captured is received by a computing device. Objects of clothing are recognized from the digital images by the computing device using object recognition as part of machine learning. A user schedule is also received by the computing device that describes user appointments and times, at which, the appointments are scheduled. A user profile is generated by the computing device by training a model using machine learning based on the recognized objects of clothing, times at which corresponding digital images are captured, and the user schedule. From the user profile, a recommendation is generated by processing a subsequent user schedule using the model as part of machine learning by the computing device.
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公开(公告)号:US11126849B2
公开(公告)日:2021-09-21
申请号:US16673638
申请日:2019-11-04
申请人: eBay Inc.
发明人: Shuai Zheng , Fan Yang , Mohammadhadi Kiapour , Qiaosong Wang , Japjit S. Tulsi , Robinson Piramuthu
IPC分类号: G06K9/00 , H04N5/232 , G06T11/60 , H04N7/18 , G06Q30/08 , G06Q30/06 , G06K9/66 , G06N20/00 , G06K9/62 , G06K9/78 , G06T7/60 , G06F3/0484
摘要: Camera platform techniques are described. In an implementation, a plurality of digital images and data describing times, at which, the plurality of digital images are captured is received by a computing device. Objects of clothing are recognized from the digital images by the computing device using object recognition as part of machine learning. A user schedule is also received by the computing device that describes user appointments and times, at which, the appointments are scheduled. A user profile is generated by the computing device by training a model using machine learning based on the recognized objects of clothing, times at which corresponding digital images are captured, and the user schedule. From the user profile, a recommendation is generated by processing a subsequent user schedule using the model as part of machine learning by the computing device.
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公开(公告)号:US10949667B2
公开(公告)日:2021-03-16
申请号:US15858463
申请日:2017-12-29
申请人: eBay Inc.
发明人: Shuai Zheng , Fan Yang , Mohammadhadi Kiapour , Qiaosong Wang , Japjit S. Tulsi , Robinson Piramuthu
IPC分类号: G06K9/00 , H04N5/232 , G06T11/60 , H04N7/18 , G06Q30/08 , G06Q30/06 , G06K9/66 , G06N20/00 , G06K9/62 , G06K9/78 , G06T7/60 , G06F3/0484
摘要: Camera platform and object inventory control techniques are described. In an implementation a live feed of digital images is output in a user interface by a computing device. A user selection is received through interaction with the user interface of at least one of the digital images. An object, included within the at least one digital image, is recognized using machine learning. Metadata is then obtained that pertains to the recognized object. Augmented reality digital content is generated based at least in part of the obtained metadata. The augmented reality digital content is displayed as part of the live feed of digital images as associated with the object.
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公开(公告)号:US12081913B2
公开(公告)日:2024-09-03
申请号:US18302714
申请日:2023-04-18
申请人: eBay Inc.
发明人: Shuai Zheng , Fan Yang , Mohammadhadi Kiapour , Qiaosong Wang , Japjit S. Tulsi , Robinson Piramuthu
IPC分类号: H04N7/18 , G06F18/214 , G06N20/00 , G06Q30/0601 , G06Q30/08 , G06T7/60 , G06T11/60 , G06V10/10 , G06V20/20 , G06V30/194 , H04N23/63 , G06F3/04842 , G06F18/2431 , H04N23/61
CPC分类号: H04N7/185 , G06F18/214 , G06N20/00 , G06Q30/0623 , G06Q30/08 , G06T7/60 , G06T11/60 , G06V10/10 , G06V20/20 , G06V30/194 , H04N23/63 , G06F3/04842 , G06F18/2431 , G06Q30/0631 , G06Q30/0643 , G06T2210/16 , H04N23/61 , H04N23/631
摘要: Camera platform techniques are described. In an implementation, a plurality of digital images and data describing times, at which, the plurality of digital images are captured is received by a computing device. Objects of clothing are recognized from the digital images by the computing device using object recognition as part of machine learning. A user schedule is also received by the computing device that describes user appointments and times, at which, the appointments are scheduled. A user profile is generated by the computing device by training a model using machine learning based on the recognized objects of clothing, times at which corresponding digital images are captured, and the user schedule. From the user profile, a recommendation is generated by processing a subsequent user schedule using the model as part of machine learning by the computing device.
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公开(公告)号:US11665320B2
公开(公告)日:2023-05-30
申请号:US17170549
申请日:2021-02-08
申请人: eBay Inc.
发明人: Shuai Zheng , Fan Yang , Mohammadhadi Kiapour , Qiaosong Wang , Japjit S. Tulsi , Robinson Piramuthu
IPC分类号: G06V20/20 , G06T11/60 , H04N7/18 , G06Q30/08 , G06Q30/0601 , G06N20/00 , G06V10/10 , G06V30/194 , G06F18/214 , H04N23/63 , G06T7/60 , G06F18/2431 , H04N23/61 , G06F3/04842
CPC分类号: G06V20/20 , G06F18/214 , G06N20/00 , G06Q30/0623 , G06Q30/08 , G06T7/60 , G06T11/60 , G06V10/10 , G06V30/194 , H04N7/185 , H04N23/63 , G06F3/04842 , G06F18/2431 , G06Q30/0631 , G06Q30/0643 , G06T2210/16 , H04N23/61 , H04N23/631
摘要: Camera platform techniques are described. In an implementation, a plurality of digital images and data describing times, at which, the plurality of digital images are captured is received by a computing device. Objects of clothing are recognized from the digital images by the computing device using object recognition as part of machine learning. A user schedule is also received by the computing device that describes user appointments and times, at which, the appointments are scheduled. A user profile is generated by the computing device by training a model using machine learning based on the recognized objects of clothing, times at which corresponding digital images are captured, and the user schedule. From the user profile, a recommendation is generated by processing a subsequent user schedule using the model as part of machine learning by the computing device.
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公开(公告)号:US10509962B2
公开(公告)日:2019-12-17
申请号:US15859056
申请日:2017-12-29
申请人: eBay Inc.
发明人: Shuai Zheng , Fan Yang , Mohammadhadi Kiapour , Qiaosong Wang , Japjit S. Tulsi , Robinson Piramuthu
IPC分类号: G06K9/00 , H04N5/232 , G06T11/60 , H04N7/18 , G06Q30/08 , G06Q30/06 , G06K9/66 , G06N20/00 , G06K9/62 , G06K9/78 , G06T7/60 , G06F3/0484
摘要: Camera platform techniques are described. In an implementation, a plurality of digital images and data describing times, at which, the plurality of digital images are captured is received by a computing device. Objects of clothing are recognized from the digital images by the computing device using object recognition as part of machine learning. A user schedule is also received by the computing device that describes user appointments and times, at which, the appointments are scheduled. A user profile is generated by the computing device by training a model using machine learning based on the recognized objects of clothing, times at which corresponding digital images are captured, and the user schedule. From the user profile, a recommendation is generated by processing a subsequent user schedule using the model as part of machine learning by the computing device.
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公开(公告)号:US20230254455A1
公开(公告)日:2023-08-10
申请号:US18302714
申请日:2023-04-18
申请人: eBay Inc.
发明人: Shuai Zheng , Fan Yang , Mohammadhadi Kiapour , Qiaosong Wang , Japjit S. Tulsi , Robinson Piramuthu
IPC分类号: H04N7/18 , G06T11/60 , G06Q30/08 , G06Q30/0601 , G06N20/00 , G06V20/20 , G06F18/214 , H04N23/63 , G06T7/60
CPC分类号: H04N7/185 , G06T11/60 , G06Q30/08 , G06Q30/0623 , G06N20/00 , G06V20/20 , G06F18/214 , H04N23/63 , G06T7/60 , G06Q30/0631 , G06Q30/0643 , G06F18/2431
摘要: Camera platform techniques are described. In an implementation, a plurality of digital images and data describing times, at which, the plurality of digital images are captured is received by a computing device. Objects of clothing are recognized from the digital images by the computing device using object recognition as part of machine learning. A user schedule is also received by the computing device that describes user appointments and times, at which, the appointments are scheduled. A user profile is generated by the computing device by training a model using machine learning based on the recognized objects of clothing, times at which corresponding digital images are captured, and the user schedule. From the user profile, a recommendation is generated by processing a subsequent user schedule using the model as part of machine learning by the computing device.
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公开(公告)号:US20200065588A1
公开(公告)日:2020-02-27
申请号:US16673638
申请日:2019-11-04
申请人: eBay Inc.
发明人: Shuai Zheng , Fan Yang , Mohammadhadi Kiapour , Qiaosong Wang , Japjit S. Tulsi , Robinson Piramuthu
IPC分类号: G06K9/00 , H04N5/232 , G06T11/60 , H04N7/18 , G06Q30/08 , G06Q30/06 , G06K9/66 , G06N20/00 , G06K9/62 , G06K9/78 , G06T7/60
摘要: Camera platform techniques are described. In an implementation, a plurality of digital images and data describing times, at which, the plurality of digital images are captured is received by a computing device. Objects of clothing are recognized from the digital images by the computing device using object recognition as part of machine learning. A user schedule is also received by the computing device that describes user appointments and times, at which, the appointments are scheduled. A user profile is generated by the computing device by training a model using machine learning based on the recognized objects of clothing, times at which corresponding digital images are captured, and the user schedule. From the user profile, a recommendation is generated by processing a subsequent user schedule using the model as part of machine learning by the computing device.
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公开(公告)号:US20190080172A1
公开(公告)日:2019-03-14
申请号:US15859056
申请日:2017-12-29
申请人: eBay Inc.
发明人: Shuai Zheng , Fan Yang , Mohammadhadi Kiapour , Qiaosong Wang , Japjit S. Tulsi , Robinson Piramuthu
摘要: Camera platform techniques are described. In an implementation, a plurality of digital images and data describing times, at which, the plurality of digital images are captured is received by a computing device. Objects of clothing are recognized from the digital images by the computing device using object recognition as part of machine learning. A user schedule is also received by the computing device that describes user appointments and times, at which, the appointments are scheduled. A user profile is generated by the computing device by training a model using machine learning based on the recognized objects of clothing, times at which corresponding digital images are captured, and the user schedule. From the user profile, a recommendation is generated by processing a subsequent user schedule using the model as part of machine learning by the computing device.
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