The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jan. 03, 2023

Filed:

Apr. 03, 2019
Applicant:

Microsoft Technology Licensing, Llc, Redmond, WA (US);

Inventors:

Simon John Baker, Medina, WA (US);

Ashish Kapoor, Kirkland, WA (US);

Gang Hua, Los Angeles, CA (US);

Dahua Lin, Cambridge, MA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 5/04 (2006.01); G06N 7/00 (2006.01); G06Q 10/10 (2012.01); G06N 20/00 (2019.01); G06N 5/02 (2006.01); G06V 10/70 (2022.01); G06V 20/30 (2022.01); G06F 3/04842 (2022.01);
U.S. Cl.
CPC ...
G06N 5/04 (2013.01); G06F 3/04842 (2013.01); G06N 5/022 (2013.01); G06N 7/005 (2013.01); G06N 20/00 (2019.01); G06Q 10/10 (2013.01); G06V 10/768 (2022.01); G06V 20/30 (2022.01); G06N 5/048 (2013.01);
Abstract

A method described herein includes receiving a digital image, wherein the digital image includes a first element that corresponds to a first domain and a second element that corresponds to a second domain. The method also includes automatically assigning a label to the first element in the digital image based at least in part upon a computed probability that the label corresponds to the first element, wherein the probability is computed through utilization of a first model that is configured to infer labels for elements in the first domain and a second model that is configured to infer labels for elements in the second domain. The first model receives data that identifies learned relationships between elements in the first domain and elements in the second domain, and the probability is computed by the first model based at least in part upon the learned relationships.


Find Patent Forward Citations

Loading…