公开(公告)号：US20190244271A1

公开(公告)日：2019-08-08

申请号：US16388473

申请日：2019-04-18

Applicant: eBay Inc.

Inventor： Robinson Piramuthu ,  Timothy Samuel Keefer ,  Kenneth Clark Crookston ,  Ashmeet Singh Rekhi ,  Niaz Ahamed Khaja Nazimudeen ,  Padmapriya Gudipati ,  Shane Lin ,  John F. Weigel ,  Fujun Zhong ,  Suchitra Ramesh ,  Mohammadhadi Kiapour ,  Shuai Zheng ,  Alberto Ordonez Pereira ,  Ravindra Surya Lanka ,  Md Atiq ul Islam ,  Nicholas Anthony Whyte ,  Giridharan Iyengar ,  Bryan Allen Plummer

IPC: G06Q30/06 ,  G06K9/62

CPC classification number: G06F16/532 ,  G06F3/017 ,  G06F3/0482 ,  G06F3/04842 ,  G06F3/0488 ,  G06F16/3326 ,  G06F16/538 ,  G06F16/583 ,  G06F16/9032 ,  G06F16/9035 ,  G06F16/907 ,  G06F16/908 ,  G06F16/9535 ,  G06K9/00671 ,  G06K9/6202 ,  G06K9/66 ,  G06N20/00 ,  G06Q30/0621 ,  G06Q30/0627 ,  G06Q30/0631 ,  G06Q30/0643

Abstract: Computer vision and image characteristic search is described. The described system leverages visual search techniques by determining visual characteristics of objects depicted in images and comparing the determined characteristics to visual characteristics of other images, e.g., to identify similar visual characteristics in the other images. In some aspects, the described system performs searches that leverage a digital image as part of a search query to locate digital content of interest. In some aspects, the described system surfaces multiple user interface instrumentalities that include images of patterns, textures, or materials and that are selectable to initiate a visual search of digital content having a similar pattern, texture, or material. The described aspects also include pattern-based authentication in which the system determines authenticity of an item in an image based on a similarity of its visual characteristics to visual characteristics of known authentic items.

公开(公告)号：US20190205646A1

公开(公告)日：2019-07-04

申请号：US16235007

申请日：2018-12-28

Applicant: eBay Inc.

Inventor： Robinson Piramuthu ,  Timothy Samuel Keefer ,  Ashmeet Singh Rekhi ,  Padmapriya Gudipati ,  Mohammadhadi Kiapour ,  Shuai Zheng ,  Md Atiq ul Islam ,  Nicholas Anthony Whyte ,  Giridharan Iyengar

IPC: G06K9/00 ,  G06N20/00 ,  G06F3/01 ,  G06F16/583

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: Techniques and systems are described that leverage computer vision as part of search to expand functionality of a computing device available to a user and increase operational computational efficiency as well as efficiency in user interaction. In a first example, user interaction with items of digital content is monitored. Computer vision techniques are used to identify digital images in the digital content, objects within the digital images, and characteristics of those objects. This information is used to assign a user to a user segment of a user population which is then used to control output of subsequent digital content to the user, e.g., recommendations, digital marketing content, and so forth.

公开(公告)号：US12223533B2

公开(公告)日：2025-02-11

申请号：US17222251

申请日：2021-04-05

Applicant: eBay Inc.

Inventor： Shuai Zheng ,  Robinson Piramuthu

IPC: G06Q30/00 ,  G06F16/532 ,  G06F16/583 ,  G06F18/214 ,  G06F18/22 ,  G06F18/24 ,  G06N3/006 ,  G06N3/045 ,  G06N3/08 ,  G06N5/02 ,  G06Q20/12 ,  G06Q20/40 ,  G06Q30/0601 ,  G06T7/00 ,  G06V20/62 ,  G06N7/01

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.

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.

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.

公开(公告)号：US20210103957A1

公开(公告)日：2021-04-08

申请号：US17107454

申请日：2020-11-30

Applicant: eBay Inc.

Inventor： Shuai Zheng ,  Mohammadhadi Kiapour ,  Nandini Ramakrishnan ,  Christophe Boudet ,  Fred Aye Zaw, JR.

IPC: G06Q30/02 ,  G06N20/00 ,  G06F40/186

Abstract: A machine is configured to generate in real time personalized online banner images for users based on data pertaining to user behavior in relation to an image of a product. For example, the machine receives a user selection indicating one or more data features associated with the user. The one or more data features include a data feature pertaining to user behavior in relation to an image of a product. The machine generates, using a machine learning algorithm, a data representation of the machine learning algorithm based on the one or more data features including the data feature pertaining to user behavior in relation to the image of the product. The data representation includes one or more data features pertaining to one or more characteristics of online banner images. The machine generates an online banner image for the user based on the data representation.

公开(公告)号：US10963940B2

公开(公告)日：2021-03-30

申请号：US16235007

申请日：2018-12-28

Applicant: eBay Inc.

Inventor： Robinson Piramuthu ,  Timothy Samuel Keefer ,  Ashmeet Singh Rekhi ,  Padmapriya Gudipati ,  Mohammadhadi Kiapour ,  Shuai Zheng ,  Md Atiq ul Islam ,  Nicholas Anthony Whyte ,  Giridharan Iyengar

IPC: G06F16/538 ,  G06F16/9535 ,  G06F16/532 ,  G06K9/62 ,  G06F3/0482 ,  G06K9/66 ,  G06F16/583 ,  G06Q30/06 ,  G06N20/00 ,  G06F3/01 ,  G06K9/00 ,  G06F3/0484 ,  G06F3/0488

Abstract: Techniques and systems are described that leverage computer vision as part of search to expand functionality of a computing device available to a user and increase operational computational efficiency as well as efficiency in user interaction. In a first example, user interaction with items of digital content is monitored. Computer vision techniques are used to identify digital images in the digital content, objects within the digital images, and characteristics of those objects. This information is used to assign a user to a user segment of a user population which is then used to control output of subsequent digital content to the user, e.g., recommendations, digital marketing content, and so forth.

公开(公告)号：US10552714B2

公开(公告)日：2020-02-04

申请号：US15923347

申请日：2018-03-16

Applicant: eBay Inc.

Inventor： Mohammadhadi Kiapour ,  Shuai Zheng ,  Robinson Piramuthu ,  Omid Poursaeed

IPC: G06K9/00 ,  G06K9/66 ,  G06K9/62 ,  G06K9/32 ,  G06Q30/06 ,  G06F16/532 ,  G06F16/583 ,  G06F16/9535

Abstract: Various embodiments described herein utilize multiple levels of generative adversarial networks (GANs) to facilitate generation of digital images based on user-provided images. Some embodiments comprise a first generative adversarial network (GAN) and a second GAN coupled to the first GAN, where the first GAN includes an image generator and at least two discriminators, and the second GAN includes an image generator and at least one discriminator. According to some embodiments, the (first) image generator of the first GAN is trained by processing a user-provided image using the first GAN. For some embodiments, the user-provided image and the first generated image, generated by processing the user-provided image using the first GAN, are combined to produce a combined image. For some embodiments, the (second) image generator of the second GAN is trained by processing the combined image using the second GAN.

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.

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.