The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Dec. 19, 2023

Filed:

Mar. 26, 2021
Applicant:

Beijing Baidu Netcom Science and Technology Co., Ltd., Beijing, CN;

Inventors:

Shu Wang, Beijing, CN;

Kexin Ren, Beijing, CN;

Xiaohan Zhang, Beijing, CN;

Zhifan Feng, Beijing, CN;

Chunguang Chai, Beijing, CN;

Yong Zhu, Beijing, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 17/00 (2019.01); G06F 16/78 (2019.01); G06F 16/33 (2019.01); G06F 40/295 (2020.01); G06F 40/30 (2020.01); G06N 3/08 (2023.01); G06V 20/40 (2022.01); G06V 40/16 (2022.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01);
U.S. Cl.
CPC ...
G06F 16/78 (2019.01); G06F 16/3344 (2019.01); G06F 40/295 (2020.01); G06F 40/30 (2020.01); G06N 3/08 (2013.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 20/46 (2022.01); G06V 20/48 (2022.01); G06V 40/172 (2022.01);
Abstract

A method, electronic device and storage medium for generating information are disclosed. The method includes: acquiring a plurality of tag entity words from a target video, the tag entity words including a person entity word, a work entity word, a video category entity word, and a video core entity word, the video core entity word including an entity word for characterizing a content related to the target video; linking, for a tag entity word among the plurality of tag entity words, the tag entity word to a node of a preset knowledge graph; determining semantic information of the target video based on a linking result of each of the tag entity words; and structuring the semantic information of the target video based on a relationship between the node and an edge of the knowledge graph, to obtain structured semantic information of the target video.


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