公开(公告)号：US20210383128A1

公开(公告)日：2021-12-09

申请号：US17411254

申请日：2021-08-25

Applicant: BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY CO., LTD.

Inventor： Wenhao Wu ,  Yuxiang Zhao

IPC: G06K9/00

Abstract: Provided are a video recognition method and apparatus, an electronic device, a medium and a computer program product. The video recognition method is described below. A to-be-recognized video is divided into at least two video segments; video frames are extracted from the at least two video segments, and feature recognition is performed on the video frames to obtain initial semantic feature blocks of the at least two video segments; each of the initial semantic feature blocks is fused, and a fused target semantic feature block is obtained; and a type of the to-be-recognized video is determined according to the fused target semantic feature block.

公开(公告)号：US11816891B2

公开(公告)日：2023-11-14

申请号：US17411254

申请日：2021-08-25

Applicant: BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY CO., LTD.

Inventor： Wenhao Wu ,  Yuxiang Zhao

IPC: G06V20/40

CPC classification number: G06V20/41 ,  G06V20/46 ,  G06V20/49

Abstract: Provided are a video recognition method and apparatus, an electronic device, a medium and a computer program product. The video recognition method is described below. A to-be-recognized video is divided into at least two video segments; video frames are extracted from the at least two video segments, and feature recognition is performed on the video frames to obtain initial semantic feature blocks of the at least two video segments; each of the initial semantic feature blocks is fused, and a fused target semantic feature block is obtained; and a type of the to-be-recognized video is determined according to the fused target semantic feature block.

公开(公告)号：US20220092252A1

公开(公告)日：2022-03-24

申请号：US17212331

申请日：2021-03-25

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

Inventor： Wenhao Wu ,  Wei Li ,  Xinyan Xiao

IPC: G06F40/126 ,  G06F40/284 ,  G06N5/02 ,  G06K9/62

Abstract: A method for generating a summary, an electronic device and a storage medium thereof, which relate to the natural language processing field, the deep learning field and the knowledge graph field, are disclosed. The method may include: acquiring a knowledge graph corresponding to a text to be processed, in the graph, nodes represent semantic concepts, and sides represent semantic relationships among the semantic concepts; encoding the text at a token level to obtain a context encoded representation of each token; determining an initial representation of each node in the knowledge graph according to the context encoded representation of each token; performing an encoding operation according to the initial representation of each node and the connection relationships among the nodes to obtain a node representation of each node; and performing a decoding operation according to the node representation of each node to obtain the summary of the text to be processed.

公开(公告)号：US20210357652A1

公开(公告)日：2021-11-18

申请号：US17338263

申请日：2021-06-03

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

Inventor： Wenhao Wu

IPC: G06K9/00 ,  G06K9/46 ,  G06K9/62

Abstract: A method, an apparatus, an electronic device and a computer readable storage medium for classifying a video are provided. The method may include: acquiring a to-be-classified video and an image complexity of the to-be-classified video; extracting a feature map with a resolution corresponding to the image complexity from the to-be-classified video; and determining a target video class to which the to-be-classified video belongs based on the feature map.

公开(公告)号：US11768873B2

公开(公告)日：2023-09-26

申请号：US17338263

申请日：2021-06-03

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

Inventor： Wenhao Wu

IPC: G06F16/75 ,  G06V20/40 ,  G06V10/56 ,  G06F18/2413 ,  G06V10/764 ,  G06V10/82

CPC classification number: G06F16/75 ,  G06F18/2413 ,  G06V10/56 ,  G06V10/764 ,  G06V10/82 ,  G06V20/41 ,  G06V20/46

Abstract: A method, an apparatus, an electronic device and a computer readable storage medium for classifying a video are provided. The method may include: acquiring a to-be-classified video and an image complexity of the to-be-classified video; extracting a feature map with a resolution corresponding to the image complexity from the to-be-classified video; and determining a target video class to which the to-be-classified video belongs based on the feature map.