Patent · US Active

Generating an image mask using machine learning

US10776663B1 · kind B1 · utility

10Cited by

2References

20Claims

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	Jul 25, 2019
Grant date	Sep 15, 2020
Priority date	—
Expiry date	Jul 25, 2039

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 be 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.