公开(公告)号：US20250029381A1

公开(公告)日：2025-01-23

申请号：US18640232

申请日：2024-04-19

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Feiyu HUANG ,  Shizhuo Liu ,  Zhezhu Jin ,  Mengfei Yin ,  Dafeng Zhang ,  Xiaobing Wang ,  Woojhon Choi ,  Jiangbo Guo

IPC: G06V20/40 ,  G06T5/20 ,  G06T7/194 ,  G06V10/25 ,  G06V10/44 ,  G06V10/80

Abstract: According to an embodiment of the disclosure, a method may include acquiring behavior objects and relevant events associated with the behavior objects in a video to be processed by using an artificial intelligence (AI) network. According to an embodiment of the disclosure, the method may include providing a behavior object selection interface based on the acquired behavior objects. According to an embodiment of the disclosure, the method may include receiving a behavior object selected through the selection interface by a user. According to an embodiment of the disclosure, the method may include providing an event related to the behavior object selected by the user.

公开(公告)号：US11816149B2

公开(公告)日：2023-11-14

申请号：US17171117

申请日：2021-02-09

Applicant: Samsung Electronics Co., Ltd.

Inventor： Dafeng Zhang ,  Yanchao Li ,  Yanjun Gao ,  Lei Wang ,  Zhezhu Jin ,  Yingying Jiang ,  Lanlan Zhang

IPC: G06F16/583 ,  G06F18/25 ,  G06V10/762 ,  G06F16/58

CPC classification number: G06F16/583 ,  G06F16/5854 ,  G06F18/251 ,  G06V10/7625 ,  G06V10/7635 ,  G06F16/5866

Abstract: An electronic device and a method for controlling thereof are provided. A method for controlling an electronic device according to the disclosure includes obtaining a plurality of images for performing clustering, obtaining a plurality of target areas corresponding to each of the plurality of images, obtaining a plurality of feature vectors corresponding to the plurality of target areas, obtaining a plurality of central nodes corresponding to the plurality of feature vectors, obtaining neighbor nodes associated with each of the plurality of central nodes, obtaining a subgraph based on the plurality of central nodes and the neighbor nodes, identifying the connection probabilities between the plurality of central nodes of the subgraph and the neighbor nodes of each of the plurality of central nodes based on a graph convolutional network, and clustering the plurality of target areas based on the identified connection probabilities.