公开(公告)号：US20250014055A1

公开(公告)日：2025-01-09

申请号：US18887992

申请日：2024-09-17

Applicant: eBay Inc.

Inventor： Wei Di ,  Vignesh Jagadeesh ,  Robinson Piramuthu ,  Elizabeth Churchill ,  Anurag Bhardwaj

IPC: G06Q30/0201 ,  G06F16/58 ,  G06F16/583 ,  G06F16/60 ,  G06F16/63 ,  G06F18/24 ,  G06F18/2415 ,  G06Q30/0601 ,  G06V30/192 ,  G06V30/198

Abstract: A machine may be configured to perform image evaluation of images depicting items for sale and to provide recommendations for improving the images depicting the items to increase the sales of the items depicted in the images. For example, the machine accesses a result of a user behavior analysis. The machine receives an image of an item from a user device. The machine per forms an image evaluation of the received image based on an analysis of the received image and the result of the user behavior analysis. The performing of the image evaluation may include determining a likelihood of a user engaging in a desired user behavior in relation to the received image. Then, the machine generates, based on the evaluation of the received image, an output that references the received image and indicates the likelihood of a user engaging in the desired behavior.

公开(公告)号：US12050641B2

公开(公告)日：2024-07-30

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 ,  G06F18/2113 ,  G06F18/2411 ,  G06F18/2415 ,  G06N3/044 ,  G06N3/045 ,  G06N3/084 ,  G06N5/022 ,  G06N7/01 ,  G06V10/46 ,  G06V10/771

CPC classification number: G06F16/532 ,  G06F16/50 ,  G06F16/583 ,  G06F18/2113 ,  G06F18/2411 ,  G06F18/2415 ,  G06N3/044 ,  G06N3/045 ,  G06N3/084 ,  G06N5/022 ,  G06V10/462 ,  G06V10/771 ,  G06N7/01

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.

公开(公告)号：US11966995B2

公开(公告)日：2024-04-23

申请号：US17675086

申请日：2022-02-18

Applicant: eBay Inc.

Inventor： Robinson Piramuthu ,  Wen Zheng

IPC: H04N23/60 ,  G06F18/00 ,  G06Q30/0601 ,  G06T1/00 ,  G06T11/60 ,  G06V10/22 ,  G06V10/28 ,  G06V20/20 ,  G06V20/64 ,  H04N5/222 ,  H04N23/63 ,  H04N23/90

CPC classification number: G06T1/0007 ,  G06F18/00 ,  G06Q30/0643 ,  G06T11/60 ,  G06V10/235 ,  G06V10/28 ,  G06V20/20 ,  G06V20/64 ,  H04N5/2226 ,  H04N23/631 ,  H04N23/64 ,  H04N23/90

Abstract: Disclosed are embodiments for facilitating automatic-guided image capturing and presentation. In some embodiments, the method includes capturing an image of an item, removing a background of the image frame, performing manual mask editing, generating an item listing based on the manually edited mask, inferring item information from the image frame and applying the inferred item information to an item listing.

公开(公告)号：US20230401839A1

公开(公告)日：2023-12-14

申请号：US18457212

申请日：2023-08-28

Applicant: eBay Inc.

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

IPC: G06V10/82 ,  G06F16/583 ,  G06F16/51 ,  G06F16/248 ,  G06F16/2457 ,  G06V10/75 ,  G06F18/2411 ,  G06F16/33 ,  G06Q30/0601

CPC classification number: G06V10/82 ,  G06F16/5838 ,  G06F16/51 ,  G06F16/248 ,  G06F16/24578 ,  G06V10/758 ,  G06F18/2411 ,  G06F16/3344 ,  G06Q30/0643 ,  G06N3/044

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.

公开(公告)号：US11836776B2

公开(公告)日：2023-12-05

申请号：US18055574

申请日：2022-11-15

Applicant: eBay Inc.

Inventor： Sanjika Hewavitharana ,  Evgeny Matusov ,  Robinson Piramuthu ,  Hassan Sawaf

IPC: G06N3/02 ,  G06F16/906 ,  G06F40/20 ,  G06F40/205 ,  G06F40/237 ,  G06F40/263 ,  G06F40/284 ,  G06F40/40 ,  G06F40/44 ,  G06Q30/0601 ,  G06F40/58 ,  G06N20/00 ,  G06F16/50

CPC classification number: G06Q30/0623 ,  G06F16/50 ,  G06F40/58 ,  G06N20/00 ,  G06Q30/0601

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.

公开(公告)号：US11775844B2

公开(公告)日：2023-10-03

申请号：US17165481

申请日：2021-02-02

Applicant: eBay Inc.

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

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

CPC classification number: G06N5/022 ,  G06F18/24143 ,  G06N3/044 ,  G06N7/01 ,  G06V10/454 ,  G06V10/764 ,  G06V10/82 ,  G06V20/20 ,  G06T2207/20081

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.

公开(公告)号：US11748978B2

公开(公告)日：2023-09-05

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

IPC: G06F16/583 ,  G06F16/51 ,  G06F16/248 ,  G06F16/2457 ,  G06Q30/06 ,  G06N7/00 ,  G06Q30/0601 ,  G06N7/01 ,  G06V10/75 ,  G06F18/2411 ,  G06V10/82 ,  G06F16/33 ,  G06K9/62 ,  G06N3/04 ,  G06N3/044

CPC classification number: G06V10/82 ,  G06F16/248 ,  G06F16/24578 ,  G06F16/3344 ,  G06F16/51 ,  G06F16/5838 ,  G06F18/2411 ,  G06Q30/0643 ,  G06V10/758 ,  G06N3/044 ,  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 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.

公开(公告)号：US11727656B2

公开(公告)日：2023-08-15

申请号：US16006263

申请日：2018-06-12

Applicant: eBay Inc.

Inventor： Jinrong Xie ,  Qiaosong Wang ,  Robinson Piramuthu

IPC: G06T19/20 ,  G06T3/40 ,  G06T15/04 ,  G06T17/20 ,  G06T19/00

CPC classification number: G06T19/20 ,  G06T3/4092 ,  G06T15/04 ,  G06T17/20 ,  G06T19/006 ,  G06T2200/08 ,  G06T2200/24 ,  G06T2219/004 ,  G06T2219/2016

Abstract: A system receives image data associated with an item, where the image data comprising a view of the item from two or more angles; determines physical attributes of the item; generates a base model of the item; samples the base model to generate one or more sampled models, each of the one or more sampled models comprising a subset of the geometric data, the subset of the geometric data determined based on one or more device characteristics of one or more user devices that interface with the system; receives device characteristics of a user device associated with a request from the user device for the item; selects, based on the received device characteristics, a sampled model of the item; and transmits a data object comprising the selected sampled model to the user device to cause the user device to generate a three-dimensional rendering of the item.

公开(公告)号：US20230254455A1

公开(公告)日：2023-08-10

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 ,  G06T11/60 ,  G06Q30/08 ,  G06Q30/0601 ,  G06N20/00 ,  G06V20/20 ,  G06F18/214 ,  H04N23/63 ,  G06T7/60

CPC classification number: H04N7/185 ,  G06T11/60 ,  G06Q30/08 ,  G06Q30/0623 ,  G06N20/00 ,  G06V20/20 ,  G06F18/214 ,  H04N23/63 ,  G06T7/60 ,  G06Q30/0631 ,  G06Q30/0643 ,  G06F18/2431

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：US20230222560A1

公开(公告)日：2023-07-13

申请号：US18120598

申请日：2023-03-13

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: G06V20/20 ,  G06F16/538 ,  G06N20/00 ,  G06F16/583 ,  G06F16/532 ,  G06F16/9535 ,  G06F3/01 ,  G06F3/04842 ,  G06F3/0482 ,  G06F3/0488

CPC classification number: G06Q30/0627 ,  G06F16/538 ,  G06N20/00 ,  G06F16/583 ,  G06F16/532 ,  G06F16/9535 ,  G06F3/017 ,  G06V20/20 ,  G06Q30/0643 ,  G06F3/04842 ,  G06F3/0482 ,  G06F3/0488 ,  G06Q30/0621 ,  G06Q30/0631

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.