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. 12, 2021

Filed:

Dec. 17, 2018
Applicant:

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

Inventors:

Youjun Liu, Palo Alto, CA (US);

Ji Li, Sunnyvale, CA (US);

Amit Srivastava, San Jose, CA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/62 (2006.01); G06K 9/00 (2006.01); G06N 3/08 (2006.01);
U.S. Cl.
CPC ...
G06K 9/6227 (2013.01); G06K 9/00986 (2013.01); G06N 3/08 (2013.01);
Abstract

The present disclosure relates to processing operations configured for an image recognition pipeline that is used to tailor real-time management of image recognition processing for technical scenarios across a plurality of different applications/services. Image recognition processing is optimized at run-time to ensure that latency requirements are met so that image recognition processing results are returned in a timely manner that aids task execution in an application-specific instances. An image recognition pipeline may manage a plurality of image recognition models that comprise a combination of image analysis service (IAS) models and deep learning models. A scheduler of the image recognition pipeline optimizes image recognition processing by selecting at least: a subset of the image recognition models for image recognition processing and a device configuration for execution of the subset of image recognition models, in order to return image recognition results within a threshold time period that satisfies application-specific execution.


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