Patents by Inventor John F. Weigel

John F. Weigel has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20220101403
    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.
    Type: Application
    Filed: December 14, 2021
    Publication date: March 31, 2022
    Applicant: eBay Inc.
    Inventors: 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
  • Patent number: 11250487
    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.
    Type: Grant
    Filed: April 18, 2019
    Date of Patent: February 15, 2022
    Assignee: eBay Inc.
    Inventors: 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
  • Publication number: 20190244271
    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.
    Type: Application
    Filed: April 18, 2019
    Publication date: August 8, 2019
    Applicant: eBay Inc.
    Inventors: 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
  • Publication number: 20190205962
    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.
    Type: Application
    Filed: December 28, 2018
    Publication date: July 4, 2019
    Applicant: eBay Inc.
    Inventors: 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