US 12,277,768 B2
Method and electronic device for generating a segment of a video
Jayesh Rajkumar Vachhani, Bengaluru (IN); Sourabh Vasant Gothe, Bengaluru (IN); Barath Raj Kandur Raja, Bengaluru (IN); Pranay Kashyap, Bengaluru (IN); Rakshith Srinivas, Bengaluru (IN); and Rishabh Khurana, Bengaluru (IN)
Assigned to Samsung Electronics Co., Ltd., Suwon-si (KR)
Filed by Samsung Electronics Co., Ltd., Suwon-si (KR)
Filed on Jul. 24, 2023, as Appl. No. 18/357,627.
Application 18/357,627 is a continuation of application No. PCT/IB2023/054910, filed on May 12, 2023.
Claims priority of application No. 202241027488 (IN), filed on May 12, 2022; and application No. 2022 41027488 (IN), filed on Jan. 18, 2023.
Prior Publication US 2023/0368534 A1, Nov. 16, 2023
Int. Cl. H04N 21/85 (2011.01); G06V 20/40 (2022.01); G06V 40/20 (2022.01)
CPC G06V 20/49 (2022.01) [G06V 40/20 (2022.01)] 19 Claims
OG exemplary drawing
 
1. A method performed by an electronic device for generating at least one segment of a video, the method comprising:
identifying, by the electronic device, at least one of a context associated with the video and an interaction of a user in connection with the video;
analyzing, by the electronic device, at least one parameter in at least one frame of the video with reference to at least one of the context and the interaction of the user, wherein the at least one parameter comprises at least one of a subject, an environment, an action of the subject, and an object;
determining, by the electronic device, the at least one frame in which a change in the at least one parameter occurs;
generating, by the electronic device, at least one segment of the video comprising the at least one frame in which the at least one parameter changed as a temporal boundary of the at least one segment; and
ranking, by the electronic device, the generated at least one segment of the video based on an affinity score and an auxiliary score,
wherein the affinity score is computed between the video and the generated at least one segment of the video based on the generated at least one segment of the video and a computed category probability.