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:
Jun. 13, 2023

Filed:

Jul. 02, 2020
Applicant:

Alibaba Group Holding Limited, Grand Cayman, KY;

Inventors:

Mengyi Liu, Hangzhou, CN;

Xiaowei Zhao, Hangzhou, CN;

Zhu Liu, Bellevue, WA (US);

Assignee:

ALIBABA GROUP HOLDING LIMITED, Grand Cayman, KY;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/45 (2019.01); G06N 20/00 (2019.01); G06F 40/30 (2020.01); G06F 17/18 (2006.01);
U.S. Cl.
CPC ...
G06F 16/45 (2019.01); G06F 17/18 (2013.01); G06F 40/30 (2020.01); G06N 20/00 (2019.01);
Abstract

Disclosed embodiments provide a multimedia file categorizing, information processing, and model training method, system, and device. The method comprises determining a plurality of feature combinations according to respective feature sets corresponding to at least two types of modality information in a multimedia file; determining a semantically relevant feature combination by using a first computational model according to the plurality of feature combinations; and categorizing the multimedia file by using the first computational model with reference to the semantically relevant feature combination. The technical solutions provided by the disclosed embodiments identify a semantically relevant feature combination in a process of categorizing a multimedia file by synthesizing features corresponding to a plurality of modalities of the multimedia file. The semantically relevant feature combination has a stronger expression capability and higher value. Categorizing the multimedia file by using this feature combination can effectively improve the categorization accuracy of the multimedia file.


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