Patent · US Active

Generating an image mask using machine learning

US11743426B2 · kind B2 · utility

3Cited by

5References

18Claims

0Family size

Assignee

SNAP INC. · US

Inventors

Lidiia Bogdanovych · Los Angeles, US
William Brendel · Los Angeles, US
Samuel Edward Hare · Los Angeles, US
Fedir Poliakov · Odesa, UA
Guohui Wang · Los Angeles, US
Xuehan Xiong · Pittsburgh, US
Jianchao Yang · Santa Monica, US
Linjie Yang · Los Angeles, US

Key dates

Filing date	Aug 13, 2020
Grant date	Aug 29, 2023
Priority date	—
Expiry date	Sep 12, 2041

Classification

Technology area (CPC H)Electricity
CPC primaryH04N7/141
WIPO fieldAudio-visual technology
WIPO sectorElectrical engineering

Abstract

A machine learning system can generate an image mask (e.g., a pixel mask) comprising pixel assignments for pixels. The pixels can he assigned to classes, including, for example, face, clothes, body skin, or hair. The machine learning system can be implemented. using a convolutional neural network that is configured to execute efficiently on computing devices having limited resources, such as mobile phones. The pixel mask can be used to more accurately display video effects interacting with a user or subject depicted in the image.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.