公开(公告)号：US11659143B2

公开(公告)日：2023-05-23

申请号：US17348010

申请日：2021-06-15

Applicant: eBay Inc.

Inventor： Shuai Zheng ,  Fan Yang ,  Mohammadhadi Kiapour ,  Qiaosong Wang ,  Japjit S. Tulsi ,  Robinson Piramuthu

IPC: 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 classification number: 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

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：US20230076209A1

公开(公告)日：2023-03-09

申请号：US18055273

申请日：2022-11-14

Applicant: eBay Inc.

Inventor： Shuai Zheng ,  Mohammadhadi Kiapour ,  Nandini Ramakrishnan ,  Christophe Boudet, JR. ,  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：US11250487B2

公开(公告)日：2022-02-15

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

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：US11222246B2

公开(公告)日：2022-01-11

申请号：US16733766

申请日：2020-01-03

Applicant: eBay Inc.

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

IPC: G06K9/66 ,  G06K9/62 ,  G06K9/32 ,  G06K9/00 ,  G06Q30/06 ,  G06F16/532 ,  G06F16/583 ,  G06F16/9535 ,  G06K9/36

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：US20210201378A1

公开(公告)日：2021-07-01

申请号：US17141618

申请日：2021-01-05

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

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：US20210158046A1

公开(公告)日：2021-05-27

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: G06K9/00 ,  H04N5/232 ,  G06T11/60 ,  H04N7/18 ,  G06Q30/08 ,  G06Q30/06 ,  G06K9/66 ,  G06N20/00 ,  G06K9/62 ,  G06K9/78 ,  G06T7/60

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：US20190205962A1

公开(公告)日：2019-07-04

申请号：US16235140

申请日：2018-12-28

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 ,  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 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：US10282642B2

公开(公告)日：2019-05-07

申请号：US15788115

申请日：2017-10-19

Applicant: eBay Inc.

Inventor： Mohammadhadi Kiapour ,  Wei Di ,  Vignesh Jagadeesh ,  Robinson Piramuthu

IPC: G06K9/00 ,  G06K9/62 ,  G06Q30/00 ,  G06K9/32 ,  G06K9/68 ,  G06K9/46

Abstract: An image is passed through an image identifier to identify a coarse category for the image and a bounding box for a categorized object. A mask is used to identify the portion of the image that represents the object. Given the foreground mask, the convex hull of the mask is located and an aligned rectangle of minimum area that encloses the hull is fitted. The aligned bounding box is rotated and scaled, so that the foreground object is roughly moved to a standard orientation and size (referred to as calibrated). The calibrated image is used as an input to a fine-grained categorization module, which determines the fine category within the coarse category for the input image.

公开(公告)号：US20180108066A1

公开(公告)日：2018-04-19

申请号：US15294765

申请日：2016-10-16

Applicant: eBay Inc.

Inventor： Ajinkya Gorakhnath Kale ,  Fan Yang ,  Qiaosong Wang ,  Mohammadhadi Kiapour ,  Robinson Piramuthu

IPC: G06Q30/06 ,  G06F17/30 ,  G06N3/02

CPC classification number: G06Q30/0625 ,  G06F16/24522 ,  G06F16/24578 ,  G06F16/532 ,  G06F16/583 ,  G06N3/02 ,  G06N3/0445 ,  G06N5/022 ,  G06N7/005

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.

公开(公告)号：US12277506B2

公开(公告)日：2025-04-15

申请号：US18459328

申请日：2023-08-31

Applicant: eBay Inc.

Inventor： Licheng Yu ,  Mohammadhadi Kiapour ,  Ajinkya Gorakhnath Kale ,  Robinson Piramuthu

IPC: G06N5/022 ,  G06F18/2413 ,  G06N3/044 ,  G06N7/01 ,  G06V10/44 ,  G06V10/764 ,  G06V10/82 ,  G06V20/20

Abstract: Various embodiments use a neural network to analyze images for aspects that characterize the images, to present locations of those aspects on the images, and, additionally, to permit a user to interact with those locations on the images. For example, a user may interact with a visual cue over one of those locations to modify, refine, or filter the results of a visual search, performed on a publication corpus, that uses an input image (e.g., one captured using a mobile device) as a search query.