US 12,293,596 B1
Detecting synthetic visual media
Pavel Goldman Kalaydin, Berlin (DE); Aleksey Samarin, Belgrade (RS); and Alexander Saveliev, Belgrade (RS)
Assigned to Raritex Trade Limited, Lefkosia (CY)
Filed by Raritex Trade Limited, Lefkosia (CY)
Filed on Jul. 17, 2024, as Appl. No. 18/775,064.
Int. Cl. G06V 20/00 (2022.01); G06V 10/42 (2022.01); G06V 10/764 (2022.01); G06V 10/771 (2022.01); G06V 10/774 (2022.01); G06V 10/80 (2022.01); G06V 10/82 (2022.01)
CPC G06V 20/95 (2022.01) [G06V 10/431 (2022.01); G06V 10/764 (2022.01); G06V 10/771 (2022.01); G06V 10/774 (2022.01); G06V 10/80 (2022.01); G06V 10/82 (2022.01)] 19 Claims
OG exemplary drawing
 
1. A method for detecting synthetic visual media, the method comprising the steps of:
receiving visual media, wherein the visual media is synthetic visual media or genuine visual media;
identifying at least one feature within the visual media;
identifying a first portion of the visual media and second portion of the visual media, the first portion of the visual media containing the at least one feature and the second portion of the visual media not including the at least one feature;
generating embeddings for the first portion of the visual media and the second portion of the visual media, wherein the step of generating embeddings further comprises the step of converting the first portion of the visual media and the second portion of the visual media into the frequency domain;
providing the first portion and the second portion to a trained machine learning (ML) model; and
the trained ML model providing data indicating the visual media to be synthetic and/or genuine.