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:
Aug. 30, 2022

Filed:

Sep. 02, 2020
Applicant:

Meta Platforms, Inc., Menlo Park, CA (US);

Inventors:

Brian Dolhansky, Seattle, WA (US);

Cristian Canton Ferrer, Sammamish, WA (US);

Eric Erkon Hsin, Seattle, WA (US);

Assignee:

Meta Platforms, Inc., Menlo Park, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/62 (2022.01); G06T 7/00 (2017.01); G06T 9/00 (2006.01); G06V 10/40 (2022.01);
U.S. Cl.
CPC ...
G06T 7/0002 (2013.01); G06K 9/6257 (2013.01); G06T 9/002 (2013.01); G06V 10/40 (2022.01); G06T 2207/20084 (2013.01); G06T 2207/30196 (2013.01); G06V 2201/10 (2022.01);
Abstract

A content analyzer determines whether various types of modification have been made to images. The content analyzer computes JPEG ghosts from the images that are concatenated with the image channels to generate a feature vector. The feature vector is provided as input to a neural network that determines whether the types of modification have been made to the image. The neural network may include a constrained convolution layer and several unconstrained convolution layers. An image fake model may also be applied to determine whether the image was generated using a computer model or algorithm.


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