公开(公告)号：US20220019847A1

公开(公告)日：2022-01-20

申请号：US17237978

申请日：2021-04-22

Applicant: Beijing Baidu Netcom Science and Technology Co., Ltd.

Inventor： Yang Xue ,  Fan Wang ,  Jingzhou He

IPC: G06K9/62 ,  G06K9/00 ,  G06T7/246 ,  G06F40/30

Abstract: An active interaction method, an electronic device and a readable storage medium, relating to the field of deep learning and image processing technologies, are disclosed. According to an embodiment, the active interaction method includes: acquiring a video shot in real time; extracting a visual target from each image frame of the video, and generating a first feature vector of each visual target; for each image frame of the video, fusing the first feature vector of each visual target and identification information of the image frame to which the visual target belongs to generate a second feature vector of each visual target; aggregating the second feature vectors with the same identification information respectively to generate a third feature vector corresponding to each image frame; and initiating active interaction in response to determining that the active interaction is to be performed according to the third feature vector of a preset image frame.

公开(公告)号：US11734392B2

公开(公告)日：2023-08-22

申请号：US17237978

申请日：2021-04-22

Applicant: Beijing Baidu Netcom Science and Technology Co., Ltd.

Inventor： Yang Xue ,  Fan Wang ,  Jingzhou He

IPC: G06F18/40 ,  G06T7/246 ,  G06F40/30 ,  G06V20/40 ,  G06F18/25 ,  G06F18/2132

CPC classification number: G06F18/40 ,  G06F18/2132 ,  G06F18/253 ,  G06F40/30 ,  G06T7/251 ,  G06V20/46 ,  G06T2207/20084

Abstract: An active interaction method, an electronic device and a readable storage medium, relating to the field of deep learning and image processing technologies, are disclosed. According to an embodiment, the active interaction method includes: acquiring a video shot in real time; extracting a visual target from each image frame of the video, and generating a first feature vector of each visual target; for each image frame of the video, fusing the first feature vector of each visual target and identification information of the image frame to which the visual target belongs to generate a second feature vector of each visual target; aggregating the second feature vectors with the same identification information respectively to generate a third feature vector corresponding to each image frame; and initiating active interaction in response to determining that the active interaction is to be performed according to the third feature vector of a preset image frame.