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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
Applicant: eBay Inc.
Inventor： Shuai Zheng , Fan Yang , Mohammadhadi Kiapour , Qiaosong Wang , Japjit S. Tulsi , Robinson Piramuthu
IPC: G06K9/00 , H04N5/232 , G06T11/60 , H04N7/18 , G06Q30/08 , G06Q30/06 , G06K9/66 , G06N20/00 , G06K9/62 , G06K9/78 , G06T7/60 , G06F3/0484
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：US10402885B2
公开(公告)日：2019-09-03
申请号：US15609930
申请日：2017-05-31
Applicant: eBay Inc.
Inventor： Neelakantan Sundaresan , Anurag Bhardwaj , Robinson Piramuthu
Abstract: Electronic content that has a tactile dimension when presented on a tactile-enabled computing device may be referred to as tactile-enabled content. A tactile-enabled device is a device that is capable of presenting tactile-enabled content in a manner that permits a user to experience tactile quality of electronic content. In one example embodiment, a system is provided for generating content that has a tactile dimension when presented on a tactile-enabled device.
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公开(公告)号：US20190205333A1
公开(公告)日：2019-07-04
申请号：US16235290
申请日：2018-12-28
Applicant: eBay Inc.
Inventor： Robinson Piramuthu , Timothy Samuel Keefer , Ashmeet Singh Rekhi , Padmapriya Gudipati , Mohammadhadi Kiapour , Shuai Zheng , Alberto Ordonez Pereira , Ravindra Surya Lanka , Md Atiq ul Islam , Nicholas Anthony Whyte , Giridharan Iyengar , Bryan Allen Plummer
IPC: G06F16/532 , G06K9/66 , G06F16/538 , G06F16/9535
CPC classification number: G06F16/532 , G06F3/017 , G06F3/0482 , G06F16/3326 , G06F16/538 , G06F16/583 , G06F16/9032 , G06F16/9035 , G06F16/907 , G06F16/908 , G06F16/9535 , G06K9/00671 , G06K9/66 , G06N20/00
Abstract: Computer vision for unsuccessful queries and iterative search is described. The described system leverages visual search techniques by determining visual characteristics of objects depicted in images and describing them, e.g., using feature vectors. In some aspects, these visual characteristics are determined for search queries that are identified as not being successful. Aggregated information describing visual characteristics of images of unsuccessful search queries is used to determine common visual characteristics and objects depicted in those images. This information can be used to inform other users about unmet needs of searching users. In some aspects, these visual characteristics are used in connection with iterative image searches where users select an initial query image and then the search results are iteratively refined. Unlike conventional techniques, the described system iteratively refines the returned search results using an embedding space learned from binary attribute labels describing images.
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公开(公告)号：US10198654B2
公开(公告)日：2019-02-05
申请号：US15192551
申请日：2016-06-24
Applicant: eBay Inc.
Inventor： Qiaosong Wang , Wen Zheng , Robinson Piramuthu
Abstract: In various example embodiments, a system and method are provided for automated estimation of a saliency map for an image based on a graph structure comprising nodes corresponding to respective superpixels on the image, the graph structure including boundary-connecting nodes that connects each non-boundary node to one or more boundary regions. Each non-boundary node is in some embodiments connected to all boundary nodes by respective boundary-connecting edges forming part of the graph. Edge weights are calculated to generate a weighted graph. Saliency map estimation comprises bringing respective nodes for similarity to a background query. The edge weights of at least some of the edges are in some embodiments calculated as a function of a geodesic distance or shortest path between the corresponding nodes.
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公开(公告)号：US10185899B2
公开(公告)日：2019-01-22
申请号：US14936052
申请日：2015-11-09
Applicant: eBay Inc.
Inventor： Anurag Bhardwaj , Robinson Piramuthu , Neelakantan Sundaresan
Abstract: An apparatus and method to adjust item recommendations are disclosed herein. A first image attribute of a query image is compared to a second image attribute of each of a plurality of inventory images of a plurality of inventory items to identify the inventory items similar to the query image. Item recommendations comprising the identified inventory items in a first listing order are provided for display at a remote device. A second listing order of the identified inventory items is determined based on a user preference for a particular one of the identified inventory items. At least the second listing order is provided to the remote device for re-display of the item recommendations in accordance with the second listing order.
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Patent Agency Ranking
公开(公告)号：US10133958B2
公开(公告)日：2018-11-20
申请号：US15270844
申请日：2016-09-20
Applicant: eBay Inc.
Inventor： Ajinkya Gorakhnath Kale , Mohammadhadi Kiapour , Robinson Piramuthu , Fan Yang , Qiaosong Wang
Abstract: In various example embodiments, a system and method for determining an item that has confirmed characteristics are described herein. An image that depicts an object is received from a client device. Structured data that corresponds to characteristics of one or more items are retrieved. A set of characteristics is determined, the set of characteristics being predicted to match with the object. An interface that includes a request for confirmation of the set of characteristics is generated. The interface is displayed on the client device. Confirmation that at least one characteristic from the set of characteristics matches with the object depicted in the image is received from the client device.
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公开(公告)号：US10068132B2
公开(公告)日：2018-09-04
申请号：US15164594
申请日：2016-05-25
Applicant: eBay Inc.
Inventor： Braddock Gaskill , Robinson Piramuthu
Abstract: Vehicles and other items often have corresponding documentation, such as registration cards, that includes a significant amount of informative textual information that can be used in identifying the item. Traditional OCR may be unsuccessful when dealing with non-cooperative images. Accordingly, features such as dewarping, text alignment, and line identification and removal may aid in OCR of non-cooperative images. Dewarping involves determining curvature of a document depicted in an image and processing the image to dewarp the image of the document to make it more accurately conform to the ideal of a cooperative image. Text alignment involves determining an actual alignment of depicted text, even when the depicted text is not aligned with depicted visual cues. Line identification and removal involves identifying portions of the image that depict lines and removing those lines prior to OCR processing of the image.
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公开(公告)号：US20180137551A1
公开(公告)日：2018-05-17
申请号：US15349462
申请日：2016-11-11
Applicant: eBay Inc.
Inventor： Shuai Zheng , Robinson Piramuthu
IPC: G06Q30/06 , G06Q20/40 , G06Q20/12 , G06N3/08 , G06F17/30 , G06T7/00 , G06K9/62 , G06K9/66 , G06K9/00 , G06K9/52
CPC classification number: G06Q30/0625 , G06F16/532 , G06F16/583 , G06K9/00442 , G06K9/3258 , G06K9/52 , G06K9/6215 , G06K9/6256 , G06K9/6267 , G06K9/66 , G06N3/08 , G06Q20/12 , G06Q20/40 , G06T7/0004 , G06T2207/30108
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 text content and input query image visual text content. Unlike conventional optical character recognition (OCR) based systems, embodiments automatically localize and isolate portions of a candidate product image and an input query image that each contain visual text content, and calculate a visual similarity measure between the respective portions. A trained neural network may be re-trained to more effectively find visual text content by using the localized and isolated visual text content portions as additional ground truths. The visual similarity measure serves as a visual search result score for the candidate product. Any number of images of any number of candidate products may be compared to an input query image to enable text-in-image based product searching without resorting to conventional OCR techniques.
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公开(公告)号：US20180137142A1
公开(公告)日：2018-05-17
申请号：US15353900
申请日：2016-11-17
Applicant: eBay Inc.
Inventor： Mohammadhadi Kiapour , Robinson Piramuthu
CPC classification number: G06F16/5838 , G06F3/0482 , G06F16/25 , G06F16/51 , G06F17/2235 , G06F17/271 , G06K9/46 , G06K9/4604 , G06K9/627
Abstract: In various example embodiments, a system and method for projecting visual aspects into a vector space are presented. A query that includes visual data is received by the system from a client device. A visual aspect indicated in the visual data is analyzed. One or more symbols that correspond to the analyzed visual aspect is generated by the system. The analyzed visual aspect is projected into a vector space using the one or more symbols. A group of projections are identified, the group of projections being within a predetermined distance from the projected visual aspect in the vector space. An interface that depicts the further visual aspects is generated. The interface is displayed on the client device.
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100.发明申请公开(公告)号：US20180075508A1
公开(公告)日：2018-03-15
申请号：US15264873
申请日：2016-09-14
Applicant: eBay Inc.
Inventor： Sanjika Hewavitharana , Evgeny Matusov , Robinson Piramuthu , Hassan Sawaf
CPC classification number: G06Q30/0623 , G06F17/289 , G06F17/30244
Abstract: In various example embodiments, a system and method for a Listing Engine that translates a first listing from a first language to a second language. The first listing includes an image(s) of a first item. The Listing Engine provides as input to an encoded neural network model a portion(s) of a translated first listing and a portions(s) of a second listing in the second language. The second listing includes an image(s) of a second item. The Listing Engine receives from the encoded neural network model a first feature vector for the translated first listing and a second feature vector for the second listing. The first and the second feature vectors both include at least one type of image signature feature and at least one type of listing text-based feature. Based on a similarity score of the first and second feature vectors at least meeting a similarity score threshold, the Listing Engine generates a pairing of the first listing in the first language with the second listing in the second language for inclusion in training data of a machine translation system.
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