US 11,687,778 B2
Fakecatcher: detection of synthetic portrait videos using biological signals
Umur Aybars Ciftci, Vestal, NY (US); Ilke Demir, Hermosa Beach, CA (US); and Lijun Yin, Vestal, NY (US)
Assigned to The Research Foundation for The State University of New York, Binghamton, NY (US)
Filed by The Research Foundation for The State University of New York, Binghamton, NY (US); and Ilke Demir, Hermosa Beach, CA (US)
Filed on Jan. 6, 2021, as Appl. No. 17/143,093.
Claims priority of provisional application 62/957,775, filed on Jan. 6, 2020.
Prior Publication US 2021/0209388 A1, Jul. 8, 2021
Int. Cl. G06N 3/08 (2023.01); G06V 40/40 (2022.01); G06V 20/40 (2022.01); G06V 40/16 (2022.01); G06F 18/2411 (2023.01); G06F 18/2415 (2023.01); G06N 3/045 (2023.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 40/10 (2022.01)
CPC G06N 3/08 (2013.01) [G06F 18/2411 (2023.01); G06F 18/2415 (2023.01); G06N 3/045 (2023.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 20/41 (2022.01); G06V 20/46 (2022.01); G06V 40/161 (2022.01); G06V 40/169 (2022.01); G06V 40/40 (2022.01); G06V 40/45 (2022.01); G06V 40/15 (2022.01)] 20 Claims
OG exemplary drawing
 
1. A method of analyzing a video comprising skin for indicia of synthetic origin, comprising:
receiving the video;
generating signal maps of the skin;
automatically determining, with at least one automated processor selected from the group consisting of a convolutional neural network and a support vector network, a spatial coherence and temporal consistency of biological signals represented in the video of the skin dependent on a power spectral density of respective signal maps; and
producing an output dependent on the determined spatial and temporal consistency.