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.
AI classification
Ownership
ALIBABA GROUP HOLDING LIMITED
assignment · 536550824
Assignors
LIU, MENGYI, LIU, ZHU
On an employer assignment, the assignors are typically the inventors.