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).
-
Publication number: 20240168993Abstract: 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: ApplicationFiled: December 5, 2023Publication date: May 23, 2024Inventors: Huguens Jean, Yoriyasu Yano, Hui Peng Hu, Kuang Chen
-
Patent number: 11868394Abstract: 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: GrantFiled: October 20, 2021Date of Patent: January 9, 2024Assignee: DST Technologies, Inc.Inventors: Huguens Jean, Yoriyasu Yano, Hui Peng Hu, Kuang Chen
-
Publication number: 20220044055Abstract: 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: ApplicationFiled: October 20, 2021Publication date: February 10, 2022Inventors: Huguens Jean, Yoriyasu Yano, Hui Peng Hu, Kuang Chen
-
Patent number: 11182640Abstract: 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: GrantFiled: August 2, 2019Date of Patent: November 23, 2021Assignee: DST Technologies, Inc.Inventors: Huguens Jean, Yoriyasu Yano, Hui Peng Hu, Kuang Chen
-
Publication number: 20210049401Abstract: 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: ApplicationFiled: August 2, 2019Publication date: February 18, 2021Inventors: Huguens Jean, Yoriyasu Yano, Hui Peng Hu, Kuang Chen
-
Patent number: 10373012Abstract: 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: GrantFiled: April 10, 2017Date of Patent: August 6, 2019Assignee: CAPTRICITY, INC.Inventors: Huguens Jean, Yoriyasu Yano, Hui Peng Hu, Kuang Chen
-
Patent number: 10235583Abstract: 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: GrantFiled: February 23, 2016Date of Patent: March 19, 2019Assignee: CAPTRICITY, INC.Inventors: Kuang Chen, Hui Peng Hu, Yoriyasu Yano, Nicholas Andre Jalbert
-
Publication number: 20170255840Abstract: 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: ApplicationFiled: April 10, 2017Publication date: September 7, 2017Inventors: Huguens Jean, Yoriyasu Yano, Hui Peng Hu, Kuang Chen
-
Patent number: 9652688Abstract: 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: GrantFiled: May 15, 2015Date of Patent: May 16, 2017Assignee: Captricity, Inc.Inventors: Huguens Jean, Yoriyasu Yano, Hui Peng Hu, Kuang Chen
-
Publication number: 20160253504Abstract: 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: ApplicationFiled: February 23, 2016Publication date: September 1, 2016Inventors: Kuang Chen, Hui Peng Hu, Yoriyasu Yano, Nicholas Andre Jalbert
-
Publication number: 20160148074Abstract: 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: ApplicationFiled: May 15, 2015Publication date: May 26, 2016Inventors: Huguens Jean, Yoriyasu Yano, Hui Peng Hu, Kuang Chen