Automatic audio/video label labeling method and system

Abstract

The invention relates to the technical field of information labeling, and discloses an automatic audio / video label labeling method and system. The method includes the steps that knowledge points and vocabularies of all subjects are captured in advance, and a corresponding subject mapping knowledge domain is built; the subject vocabularies serve as a hot word source, and voice frequencies extracted from an audio / video to be labeled are converted into a text; key words in the text are extracted, and the subject to which the audio / video belongs and the knowledge points are determined according to the incidence relation of the keywords and the mapping knowledge domain; a label corresponding to the audio / video is built, and the label comprises the keywords and the subject to which the audio / video belongs and the knowledge points. By means of the automatic audio / video label labeling method and system, the audio / video source contents can be fully excavated, automatic labeling of labels is achieved, the amount of manual intervention is reduced, and meanwhile, a good basis is provided for the later resource push and other services.

Description

technical field [0001] The invention relates to the technical field of information tagging, in particular to a method and system for automatic tagging of audio and video tags. Background technique [0002] With the vigorous development of the Internet and education cloud, educational and teaching resources are abundant and uneven. For teachers and students, a small amount of metadata, such as the title, can be used to judge whether the resource is what they need. This method is more dependent on metadata, and typos in the title may affect the user's judgment; Only by browsing the entire audio and video can you determine whether the content of this resource is the required resource, and it will be time-consuming to browse the entire audio and video. It can be seen that the traditional audio and video acquisition methods can no longer meet the current needs of quickly obtaining resources that meet their own requirements from massive Internet resources. [0003] Automatically...

AI Technical Summary

Problems solved by technology

For teachers and students, a small amount of metadata, such as the title, can be used to judge whether the resource is what they need. This method is more dependent on metadata, and typos in the title may affect the user's judgment; Only by browsing the entire audio and video can you determine whether the content of this resource is the required resource, and browsing the entire audio and video will be time-consuming

It can be seen that the traditional audio and video acquisition methods can no longer meet the current needs of quickly obtaining resources that meet their own requirements from massive Internet resources.

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