MULTIMEDIA FILE CATEGORIZING, INFORMATION PROCESSING, AND MODEL TRAINING METHOD, SYSTEM, AND DEVICE

Patent №

US 11,675,827

Granted

2023-06-13

Filed 2020

Owner

ALIBABA GROUP HOLDING LIMITED

Lab

AI components

5

ml · nlp · vision · kr · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

16919160

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.

Machine learningNatural languageVisionKnowledge representationAI hardwareG06F 16/45G06F 17/18G06F 40/30G06N 3/0442G06N 3/0464G06N 3/08G06N 3/09G06N 3/092+3 more

AI classification

Machine learning1.00
Natural language1.00
Vision1.00
Knowledge representation1.00
AI hardware0.99
Evolutionary computation0.18
Speech0.07
Planning0.05

Ownership

ALIBABA GROUP HOLDING LIMITED

assignment · 536550824

Assignors

LIU, MENGYI, LIU, ZHU

On an employer assignment, the assignors are typically the inventors.

From the same owner

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