Patents by Inventor Yoriyasu Yano

Yoriyasu Yano 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
  • Patent number: 10235583
    Abstract: Disclosed are a method and apparatus for storing and/or digitizing documents that preserves the confidentiality of the documents. The technology includes a process, referred to herein as “shredding”, that extracts portions of a digitized document, such as a scanned document or an image file, to create “shreds.” A shred can be, for example, a field of a form, a portion of a photo, etc. In some embodiments where the source document includes confidential information, each individual shred does not include the confidential information and, with information of only one shred, a person cannot obtain the confidential information. As a result, while the source document needs to be stored in a secure fashion to prevent disclosure of the confidential information, the shreds can be stored in a non-secure fashion without risking disclosure of the confidential information.
    Type: Grant
    Filed: February 23, 2016
    Date of Patent: March 19, 2019
    Assignee: CAPTRICITY, INC.
    Inventors: Kuang Chen, Hui Peng Hu, Yoriyasu Yano, Nicholas Andre Jalbert
  • 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: 20160253504
    Abstract: Disclosed are a method and apparatus for storing and/or digitizing documents that preserves the confidentiality of the documents. The technology includes a process, referred to herein as “shredding”, that extracts portions of a digitized document, such as a scanned document or an image file, to create “shreds.” A shred can be, for example, a field of a form, a portion of a photo, etc. In some embodiments where the source document includes confidential information, each individual shred does not include the confidential information and, with information of only one shred, a person cannot obtain the confidential information. As a result, while the source document needs to be stored in a secure fashion to prevent disclosure of the confidential information, the shreds can be stored in a non-secure fashion without risking disclosure of the confidential information.
    Type: Application
    Filed: February 23, 2016
    Publication date: September 1, 2016
    Inventors: Kuang Chen, Hui Peng Hu, Yoriyasu Yano, Nicholas Andre Jalbert
  • 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