Patents by Inventor Huguens Jean

Huguens Jean 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).

  • Patent number: 11868394
    Abstract: Methods, apparatuses, and embodiments related to analyzing the content of digital images. A computer extracts multiple sets of visual features, which can be keypoints, based on an image of a selected object. Each of the multiple sets of visual features is extracted by a different visual feature extractor. The computer further extracts a visual word count vector based on the image of the selected object. An image query is executed based on the extracted visual features and the extracted visual word count vector to identify one or more candidate template objects of which the selected object may be an instance. When multiple candidate template objects are identified, a matching algorithm compares the selected object with the candidate template objects to determine a particular candidate template of which the selected object is an instance.
    Type: Grant
    Filed: October 20, 2021
    Date of Patent: January 9, 2024
    Assignee: DST Technologies, Inc.
    Inventors: Huguens Jean, Yoriyasu Yano, Hui Peng Hu, Kuang Chen
  • Publication number: 20220044055
    Abstract: Methods, apparatuses, and embodiments related to analyzing the content of digital images. A computer extracts multiple sets of visual features, which can be keypoints, based on an image of a selected object. Each of the multiple sets of visual features is extracted by a different visual feature extractor. The computer further extracts a visual word count vector based on the image of the selected object. An image query is executed based on the extracted visual features and the extracted visual word count vector to identify one or more candidate template objects of which the selected object may be an instance. When multiple candidate template objects are identified, a matching algorithm compares the selected object with the candidate template objects to determine a particular candidate template of which the selected object is an instance.
    Type: Application
    Filed: October 20, 2021
    Publication date: February 10, 2022
    Inventors: Huguens Jean, Yoriyasu Yano, Hui Peng Hu, Kuang Chen
  • Patent number: 11182640
    Abstract: Methods, apparatuses, and embodiments related to analyzing the content of digital images. A computer extracts multiple sets of visual features, which can be keypoints, based on an image of a selected object. Each of the multiple sets of visual features is extracted by a different visual feature extractor. The computer further extracts a visual word count vector based on the image of the selected object. An image query is executed based on the extracted visual features and the extracted visual word count vector to identify one or more candidate template objects of which the selected object may be an instance. When multiple candidate template objects are identified, a matching algorithm compares the selected object with the candidate template objects to determine a particular candidate template of which the selected object is an instance.
    Type: Grant
    Filed: August 2, 2019
    Date of Patent: November 23, 2021
    Assignee: DST Technologies, Inc.
    Inventors: Huguens Jean, Yoriyasu Yano, Hui Peng Hu, Kuang Chen
  • Publication number: 20210049401
    Abstract: Methods, apparatuses, and embodiments related to analyzing the content of digital images. A computer extracts multiple sets of visual features, which can be keypoints, based on an image of a selected object. Each of the multiple sets of visual features is extracted by a different visual feature extractor. The computer further extracts a visual word count vector based on the image of the selected object. An image query is executed based on the extracted visual features and the extracted visual word count vector to identify one or more candidate template objects of which the selected object may be an instance. When multiple candidate template objects are identified, a matching algorithm compares the selected object with the candidate template objects to determine a particular candidate template of which the selected object is an instance.
    Type: Application
    Filed: August 2, 2019
    Publication date: February 18, 2021
    Inventors: Huguens Jean, Yoriyasu Yano, Hui Peng Hu, Kuang Chen
  • Patent number: 10373012
    Abstract: Methods, apparatuses, and embodiments related to analyzing the content of digital images. A computer extracts multiple sets of visual features, which can be keypoints, based on an image of a selected object. Each of the multiple sets of visual features is extracted by a different visual feature extractor. The computer further extracts a visual word count vector based on the image of the selected object. An image query is executed based on the extracted visual features and the extracted visual word count vector to identify one or more candidate template objects of which the selected object may be an instance. When multiple candidate template objects are identified, a matching algorithm compares the selected object with the candidate template objects to determine a particular candidate template of which the selected object is an instance.
    Type: Grant
    Filed: April 10, 2017
    Date of Patent: August 6, 2019
    Assignee: CAPTRICITY, INC.
    Inventors: Huguens Jean, Yoriyasu Yano, Hui Peng Hu, Kuang Chen
  • Publication number: 20170255840
    Abstract: Methods, apparatuses, and embodiments related to analyzing the content of digital images. A computer extracts multiple sets of visual features, which can be keypoints, based on an image of a selected object. Each of the multiple sets of visual features is extracted by a different visual feature extractor. The computer further extracts a visual word count vector based on the image of the selected object. An image query is executed based on the extracted visual features and the extracted visual word count vector to identify one or more candidate template objects of which the selected object may be an instance. When multiple candidate template objects are identified, a matching algorithm compares the selected object with the candidate template objects to determine a particular candidate template of which the selected object is an instance.
    Type: Application
    Filed: April 10, 2017
    Publication date: September 7, 2017
    Inventors: Huguens Jean, Yoriyasu Yano, Hui Peng Hu, Kuang Chen
  • Patent number: 9652688
    Abstract: Methods, apparatuses, and embodiments related to analyzing the content of digital images. A computer extracts multiple sets of visual features, which can be keypoints, based on an image of a selected object. Each of the multiple sets of visual features is extracted by a different visual feature extractor. The computer further extracts a visual word count vector based on the image of the selected object. An image query is executed based on the extracted visual features and the extracted visual word count vector to identify one or more candidate template objects of which the selected object may be an instance. When multiple candidate template objects are identified, a matching algorithm compares the selected object with the candidate template objects to determine a particular candidate template of which the selected object is an instance.
    Type: Grant
    Filed: May 15, 2015
    Date of Patent: May 16, 2017
    Assignee: Captricity, Inc.
    Inventors: Huguens Jean, Yoriyasu Yano, Hui Peng Hu, Kuang Chen
  • Publication number: 20160148074
    Abstract: Methods, apparatuses, and embodiments related to analyzing the content of digital images. A computer extracts multiple sets of visual features, which can be keypoints, based on an image of a selected object. Each of the multiple sets of visual features is extracted by a different visual feature extractor. The computer further extracts a visual word count vector based on the image of the selected object. An image query is executed based on the extracted visual features and the extracted visual word count vector to identify one or more candidate template objects of which the selected object may be an instance. When multiple candidate template objects are identified, a matching algorithm compares the selected object with the candidate template objects to determine a particular candidate template of which the selected object is an instance.
    Type: Application
    Filed: May 15, 2015
    Publication date: May 26, 2016
    Inventors: Huguens Jean, Yoriyasu Yano, Hui Peng Hu, Kuang Chen
  • Publication number: 20120144247
    Abstract: A system, apparatus and method for providing training through incorporation of metaphorical expressions are provided. A method includes receiving selected user preferences via a computer. The method also includes displaying a story board based on the selected user preferences, where the display shows text and images and the computer simultaneously plays vocals. Further, the method includes prompting the user to perform a task. Where the user successfully completes the task, the method includes taking the user to a next task. If the user does not successfully complete the task, the method includes repeating the story board and prompting the user to attempt the task again until the task is successfully completed.
    Type: Application
    Filed: December 5, 2011
    Publication date: June 7, 2012
    Inventors: Kimberly Ann Brown, Huguens Jean