US 12,293,575 B2
Method and apparatus with image information generation
Bohyung Han, Seoul (KR); Jonghyeon Seon, Seoul (KR); and Jaedong Hwang, Seoul (KR)
Assigned to SAMSUNG ELECTRONICS CO., LTD., Suwon-si (KR); and SNU R&DB FOUNDATION, Seoul (KR)
Filed by SAMSUNG ELECTRONICS CO., LTD., Suwon-si (KR); and SNU R&DB FOUNDATION, Seoul (KR)
Filed on Jul. 15, 2022, as Appl. No. 17/865,762.
Claims priority of application No. 10-2021-0140405 (KR), filed on Oct. 20, 2021.
Prior Publication US 2023/0119509 A1, Apr. 20, 2023
Int. Cl. G06V 10/82 (2022.01); G06V 10/774 (2022.01); G06V 10/776 (2022.01); G06V 20/40 (2022.01)
CPC G06V 10/82 (2022.01) [G06V 10/774 (2022.01); G06V 10/776 (2022.01); G06V 20/46 (2022.01)] 17 Claims
OG exemplary drawing
 
1. A processor-implemented method, comprising:
generating, by a neural network having a plurality of layers, final feature vectors of one or more frames of a plurality of frames of an input video, while sequentially processing each of the plurality of frames; and
generating image information corresponding to the input video based on the generated final feature vectors,
wherein, for each of the plurality of frames, the generating of the final feature vectors comprises:
determining whether to proceed with or stop a corresponding sequenced operation through layers of the neural network for generating a final feature vector of a corresponding frame; and
generating the final feature vector of the corresponding frame in response to the corresponding sequenced operation completing a final stage of the corresponding sequenced operation.