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公开(公告)号:US20190080171A1
公开(公告)日:2019-03-14
申请号:US15858463
申请日:2017-12-29
Applicant: eBay Inc.
Inventor: Shuai Zheng , Fan Yang , Mohammadhadi Kiapour , Qiaosong Wang , Japjit S. Tulsi , Robinson Piramuthu
Abstract: 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:US20180107902A1
公开(公告)日:2018-04-19
申请号:US15294773
申请日:2016-10-16
Applicant: eBay Inc.
Inventor: Fan Yang , Ajinkya Gorakhnath Kale , Qiaosong Wang , Mohammadhadi Kiapour , Robinson Piramuthu
CPC classification number: G06K9/6277 , G06F16/50 , G06F16/532 , G06F16/583 , G06K9/4671 , G06K9/623 , G06K9/6269 , G06N3/0445 , G06N3/0454 , G06N3/084 , G06N5/022 , G06N7/005
Abstract: Methods, systems, and computer programs are presented for adding new features to a network service. A method includes receiving an image depicting an object of interest. A category set is determined for the object of interest and an image signature is generated for the image. Using the category set and the image signature, the method identifies a set of publications within a publication database and assigns a rank to each publication. The method causes presentation of the ranked list of publications at a computing device from which the image was received.
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公开(公告)号:US20180107685A1
公开(公告)日:2018-04-19
申请号:US15294767
申请日:2016-10-16
Applicant: eBay Inc.
Inventor: Ajinkya Gorakhnath Kale , Fan Yang , Qiaosong Wang , Mohammadhadi Kiapour , Robinson Piramuthu
CPC classification number: G06F16/5838 , G06F16/24578 , G06F16/248 , G06F16/51 , G06K9/6212 , G06K9/6269 , G06N3/0445 , G06N7/005 , G06Q30/0643
Abstract: Systems, methods, and computer program products for identifying a candidate product in an electronic marketplace based on a visual comparison between candidate product image visual content and input query image visual content. Embodiments generate and store descriptive image signatures from candidate product images or selected portions of such images. A subsequently calculated visual similarity measure serves as a visual search result score for the candidate product in comparison to an input query image. Any number of images of any number of candidate products may be analyzed, such as for items available for sale in an online marketplace. Image analysis results are stored in a database and made available for subsequent automated on-demand visual comparisons to an input query image. The embodiments enable substantially real time visual based product searching of a potentially vast catalog of items.
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公开(公告)号:US12198420B2
公开(公告)日:2025-01-14
申请号:US17727100
申请日:2022-04-22
Applicant: eBay Inc.
Inventor: Kevin Lin , Fan Yang , Qiaosong Wang , Robinson Piramuthu
IPC: G06N3/088 , G06F16/51 , G06F16/532 , G06F16/56 , G06F16/583 , G06F18/21 , G06F18/214 , G06F18/22 , G06F18/2411 , G06V10/44 , G06V10/82 , G06V20/00
Abstract: Disclosed are systems, methods, and non-transitory computer-readable media for using adversarial learning for fine-grained image search. An image search system receives a search query that includes an input image depicting an object. The search system generates, using a generator, a vector representation of the object in a normalized view. The generator was trained based on a set of reference images of known objects in multiple views, and feedback data received from an evaluator that indicates performance of the generator at generating vector representations of the known objects in the normalized view. The evaluator including a discriminator sub-module, a normalizer sub-module, and a semantic embedding sub-module that generate the feedback data. The image search system identifies, based on the vector representation of the object, a set of other images depicting the object, and returns at least one of the other images in response to the search query.
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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
Applicant: eBay Inc.
Inventor: Shuai Zheng , Fan Yang , Mohammadhadi Kiapour , Qiaosong Wang , Japjit S. Tulsi , Robinson Piramuthu
IPC: 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 classification number: 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
Abstract: 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:US20240004920A1
公开(公告)日:2024-01-04
申请号:US18228328
申请日:2023-07-31
Applicant: eBay Inc.
Inventor: Fan Yang , Ajinkya Gorakhnath Kale , Qiaosong Wang , Mohammadhadi Kiapour , Robinson Piramuthu
IPC: G06F16/532 , G06F16/50 , G06F16/583 , G06N3/084 , G06V10/46 , G06F18/2415 , G06F18/2113 , G06F18/2411 , G06N3/044 , G06N3/045 , G06V10/771 , G06N5/022
CPC classification number: G06F16/532 , G06F16/50 , G06F16/583 , G06N3/084 , G06V10/462 , G06F18/2415 , G06N7/01 , G06F18/2411 , G06N3/044 , G06N3/045 , G06V10/771 , G06N5/022 , G06F18/2113
Abstract: Methods, systems, and computer programs are presented for adding new features to a network service. A method includes receiving an image depicting an object of interest. A category set is determined for the object of interest and an image signature is generated for the image. Using the category set and the image signature, the method identifies a set of publications within a publication database and assigns a rank to each publication. The method causes presentation of the ranked list of publications at a computing device from which the image was received.
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公开(公告)号:US11836777B2
公开(公告)日:2023-12-05
申请号:US17221367
申请日:2021-04-02
Applicant: eBay Inc.
Inventor: Ajinkya Gorakhnath Kale , Fan Yang , Qiaosong Wang , Mohammadhadi Kiapour , Robinson Piramuthu
IPC: G06Q30/00 , G06Q30/0601 , G06F16/583 , G06F16/2452 , G06F16/2457 , G06F16/532 , G06N5/022 , G06N3/044 , G06N7/01 , G06N3/02
CPC classification number: G06Q30/0625 , G06F16/24522 , G06F16/24578 , G06F16/532 , G06F16/583 , G06N3/02 , G06N3/044 , G06N5/022 , G06N7/01
Abstract: Systems, methods, and computer program products for identifying a relevant candidate product in an electronic marketplace. Embodiments perform a visual similarity comparison between candidate product image visual content and input query image visual content, process formal and informal natural language user inputs, and coordinate aggregated past user interactions with the marketplace stored in a knowledge graph. Visually similar items and their corresponding product categories, aspects, and aspect values can determine suggested candidate products without discernible delay during a multi-turn user dialog. The user can then refine the search for the most relevant items available for purchase by providing responses to machine-generated prompts that are based on the initial search results from visual, voice, and/or text inputs. An intelligent online personal assistant can thus guide a user to the most relevant candidate product more efficiently than existing search tools.
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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
Applicant: eBay Inc.
Inventor: Shuai Zheng , Fan Yang , Mohammadhadi Kiapour , Qiaosong Wang , Japjit S. Tulsi , Robinson Piramuthu
IPC: 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 classification number: 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
Abstract: 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:US11604951B2
公开(公告)日:2023-03-14
申请号:US17091851
申请日:2020-11-06
Applicant: eBay Inc.
Inventor: Fan Yang , Ajinkya Gorakhnath Kale , Qiaosong Wang , Mohammadhadi Kiapour , Robinson Piramuthu
IPC: G06K9/62 , G06F16/50 , G06F16/532 , G06F16/583 , G06N3/04 , G06N3/08 , G06V10/46 , G06N5/02 , G06N7/00 , G06N3/084 , G06N5/022
Abstract: Methods, systems, and computer programs are presented for adding new features to a network service. A method includes receiving an image depicting an object of interest. A category set is determined for the object of interest and an image signature is generated for the image. Using the category set and the image signature, the method identifies a set of publications within a publication database and assigns a rank to each publication. The method causes presentation of the ranked list of publications at a computing device from which the image was received.
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公开(公告)号:US11361191B2
公开(公告)日:2022-06-14
申请号:US15985818
申请日:2018-05-22
Applicant: eBay Inc.
Inventor: Kevin Lin , Fan Yang , Qiaosong Wang , Robinson Piramuthu
IPC: G06K9/62 , G06F16/51 , G06F16/532 , G06F16/56 , G06N3/08 , G06V20/00 , G06F16/583 , G06V10/32
Abstract: Disclosed are systems, methods, and non-transitory computer-readable media for using adversarial learning for fine-grained image search. An image search system receives a search query that includes an input image depicting an object. The search system generates, using a generator, a vector representation of the object in a normalized view. The generator was trained based on a set of reference images of known objects in multiple views, and feedback data received from an evaluator that indicates performance of the generator at generating vector representations of the known objects in the normalized view. The evaluator including a discriminator sub-module, a normalizer sub-module, and a semantic embedding sub-module that generate the feedback data. The image search system identifies, based on the vector representation of the object, a set of other images depicting the object, and returns at least one of the other images in response to the search query.
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