US 12,147,550 B2
Steganography method
Jin Woo Ahn, Gyeongsangnam-do (KR); Sang Woo Noh, Gyeongsangnam-do (KR); and Tae Hwan Kim, Gyeongsangnam-do (KR)
Assigned to Defense Agency for Technology and Quality, Gyeongsangnam-do (KR)
Filed by Defense Agency for Technology and Quality, Gyeongsangnam-do (KR)
Filed on Aug. 29, 2022, as Appl. No. 17/897,246.
Claims priority of application No. 10-2021-0114766 (KR), filed on Aug. 30, 2021.
Prior Publication US 2023/0066458 A1, Mar. 2, 2023
Int. Cl. G06F 21/60 (2013.01); G06N 3/045 (2023.01); G06N 3/08 (2023.01); G06V 10/74 (2022.01); G06V 10/82 (2022.01); G06V 20/00 (2022.01); H04N 19/467 (2014.01)
CPC G06F 21/606 (2013.01) [G06N 3/08 (2013.01); G06V 10/761 (2022.01); G06V 10/82 (2022.01); G06V 20/95 (2022.01); H04N 19/467 (2014.11)] 9 Claims
OG exemplary drawing
 
1. A steganography method comprising:
a first generating neural network application step of embedding an original hidden message in a video stream of an original cover video to generate a first stego video by applying a first generating neural network thereto;
a first discriminant correction step of comparing the first stego video generated in the first generating neural network application step with the original cover video two or more times by using a first discriminant neural network, and correcting it;
a first learning step of training the first generating neural network so that the first stego video generated in the first generating neural network application step is determined to be a real video in the first discriminant correction step;
a second learning step of training the first discriminant neural network so that when the original cover video is input in the first discriminant correction step, it is determined to be real, and when the video derived from the first generating neural network is input therein, it is determined to be fake; and
a second stego video acquisition step of acquiring a second stego video by using a first generative adversarial neural network induced (adversarial training) through a mutual adversarial relationship between the first generating neural network and the first discriminant neural network;
wherein the original cover video is a video stream comprising any one or more of images and sounds;
wherein the embedding method is one of pre-embedding, intra-embedding, and a post-embedding.