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:
Jun. 09, 2026

Filed:

Sep. 22, 2021
Applicant:

Apple Inc., Cupertino, CA (US);

Inventor:

Ian M. Richter, Los Angeles, CA (US);

Assignee:

APPLE INC., Cupertino, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 20/20 (2022.01); G06F 16/75 (2019.01); G06F 16/78 (2019.01); G06F 16/783 (2019.01); G06T 7/11 (2017.01); G06V 10/10 (2022.01); G06V 10/25 (2022.01); G06V 10/82 (2022.01); G06V 20/40 (2022.01);
U.S. Cl.
CPC ...
G06V 20/20 (2022.01); G06F 16/75 (2019.01); G06F 16/7837 (2019.01); G06F 16/7867 (2019.01); G06T 7/11 (2017.01); G06V 10/17 (2022.01); G06V 10/25 (2022.01); G06V 10/82 (2022.01); G06V 20/46 (2022.01);
Abstract

A method includes obtaining a first unstructured video stream that provides pixel values for a plurality of pixels and corresponds to a portion of a second unstructured video stream being displayed on a second electronic device different from the first electronic device. Obtaining the first unstructured video stream includes obtaining pass-through image data including the portion of a second unstructured video stream. The method includes generating respective pixel characterization vectors for a first portion of the plurality of pixels. Generating each of the respective pixel characterization vectors includes determining a respective instance label value. The method includes identifying a first object within the first portion of the plurality of pixels associated with a particular instance label value. The method includes generating respective semantic label values corresponding to pixels associated with the first object. The respective semantic label values are added to pixel characterization vectors associated with the first object.


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