公开(公告)号：US11200611B2

公开(公告)日：2021-12-14

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: G06F17/00 ,  G06F7/00 ,  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 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.

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：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.

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.

公开(公告)号：US20220101403A1

公开(公告)日：2022-03-31

申请号：US17550350

申请日：2021-12-14

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

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：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：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：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：US11636524B2

公开(公告)日：2023-04-25

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: G06Q30/0601 ,  G06V20/20 ,  G06F3/01 ,  G06F3/0482 ,  G06F16/583 ,  G06N20/00 ,  G06F16/538 ,  G06F16/9535 ,  G06F16/532 ,  G06F3/04842 ,  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：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.