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:
Oct. 15, 2024

Filed:

Aug. 23, 2021
Applicant:

Qualcomm Incorporated, San Diego, CA (US);

Inventors:

Yizhe Zhang, San Diego, CA (US);

Amirhossein Habibian, Amsterdam, NL;

Fatih Murat Porikli, San Diego, CA (US);

Assignee:

QUALCOMM Incorporated, San Diego, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06V 20/40 (2022.01); G06F 18/21 (2023.01); G06F 18/22 (2023.01); G06F 18/2411 (2023.01); G06N 3/045 (2023.01); G06T 1/00 (2006.01); G06T 7/136 (2017.01); G06T 7/174 (2017.01); G06T 7/215 (2017.01); G06V 10/40 (2022.01); G06V 10/75 (2022.01); G06V 10/94 (2022.01); G06V 30/262 (2022.01);
U.S. Cl.
CPC ...
G06V 30/274 (2022.01); G06F 18/21 (2023.01); G06F 18/22 (2023.01); G06F 18/2411 (2023.01); G06N 3/045 (2023.01); G06T 1/0007 (2013.01); G06T 7/136 (2017.01); G06T 7/174 (2017.01); G06T 7/215 (2017.01); G06V 10/40 (2022.01); G06V 10/751 (2022.01); G06V 10/95 (2022.01); G06V 20/46 (2022.01); G06V 20/49 (2022.01); G06T 2207/10016 (2013.01); G06T 2207/20084 (2013.01); G06V 10/759 (2022.01);
Abstract

Systems, methods, and non-transitory media are provided for providing spatiotemporal recycling networks (e.g., for video segmentation). For example, a method can include obtaining video data including a current frame and one or more reference frames. The method can include determining, based on a comparison of the current frame and the one or more reference frames, a difference between the current frame and the one or more reference frames. Based on the difference being below a threshold, the method can include performing semantic segmentation of the current frame using a first neural network. The semantic segmentation can be performed based on higher-spatial resolution features extracted from the current frame by the first neural network and lower-resolution features extracted from the one or more reference frames by a second neural network. The first neural network has a smaller structure and/or a lower processing cost than the second neural network.


Find Patent Forward Citations

Zhang, Yizhe. (2024). Spatiotemporal recycling network (U.S. Patent No. 12118810). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12118810

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Loading…