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Course classification method and device based on multi-modal feature representation, equipment and medium

A classification method and multi-modal technology, applied in character and pattern recognition, instruments, data processing applications, etc., can solve the problems of insufficient utilization and inaccuracy of video course classification information, optimize feature representation, avoid feature loss, The effect of improving accuracy

Active Publication Date: 2021-12-21
PING AN TECH (SHENZHEN) CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The embodiment of the present invention provides a course classification method, device, equipment and medium based on multimodal feature representation, aiming to solve the problem of inaccuracy caused by insufficient utilization of video course classification information

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  • Course classification method and device based on multi-modal feature representation, equipment and medium
  • Course classification method and device based on multi-modal feature representation, equipment and medium
  • Course classification method and device based on multi-modal feature representation, equipment and medium

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Embodiment Construction

[0031] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0032] It should be understood that when used in this specification and the appended claims, the terms "comprising" and "comprises" indicate the presence of described features, integers, steps, operations, elements and / or components, but do not exclude one or Presence or addition of multiple other features, integers, steps, operations, elements, components and / or collections thereof.

[0033] It should also be understood that the terminology used ...

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Abstract

The invention relates to the field of artificial intelligence, and provides a course classification method and device based on multi-modal feature representation, equipment and a medium. Weak-modal semantic features are enhanced while the characteristics of the weak-modal semantic features are maintained, feature loss is effectively avoided, adaptive learning of different modal weights is performed according to the semantic strength of modals, and the features are fused according to the weights on multiple dimensions of video, audio and text, so that the obtained features have information of three dimensions at the same time, the feature representation mode of video courses is optimized, and the course category prediction precision is further improved; the fusion features of each sample are utilized to train a preset classification network, a video course classification model is obtained, to-be-classified video courses are classified by using the video course classification model to obtain a classification result, and thus accurate classification of the courses are realized. The invention further relates to a block chain technology, and the trained model can be stored on a block chain node.

Description

technical field [0001] The present invention relates to the technical field of artificial intelligence, in particular to a course classification method, device, equipment and medium based on multimodal feature representation. Background technique [0002] With the rapid development of Internet technology, online education can break the boundaries of time and space, and is very popular among consumers. Therefore, in order to facilitate users to retrieve interested courses, it is more and more important to accurately classify video courses. [0003] The video modal features of most videos convey more information than audio and text, so it is necessary to focus on the video modal. At this time, the audio modal and text modal features should be enhanced. However, there are still a small number of video courses in which the information conveyed by each frame is limited, and users need to combine audio and text comments to obtain more knowledge. At this time, audio and text featu...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06Q50/20
CPCG06Q50/20G06F18/214G06F18/241G06F18/253
Inventor 乔延柯栾雅理吴志成张茜李婧源
Owner PING AN TECH (SHENZHEN) CO LTD
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