Audio/video intelligent catalog information acquisition method facing to wide area network

Abstract

The invention relates to an audio / video intelligent catalog information acquisition method facing to a wide area network, belonging to the field of computer application, which is characterized in that a weighting algorithm based on position factors of keyword characteristic items is offered; different weighting factors are endowed to the characteristics of different positions in a file so that the theme similarity of webpage contents can be more accurately calculated; a link with higher theme similarity is optimally selected by comprehensively utilizing three aspects of the factors of the similarity of the webpage contents, the URL (Uniform Resource Locator) catalog level information of an ultra-link and the anchor text information of the ultra-link; the cataloguing information of the searched theme webpage is automatically extracted by adopting an information extraction method based on the body and HTML (Hypertext Markup Language); and the extracted cataloguing information is standardized by adopting an improved semantic similarity calculation method. The invention has the advantages that the description item information can be intelligently and automatically provided to a lister; the labor capacity of workers is reduced; the cataloguing efficiency is enhanced; and the method can adapt to different requirements of professional and non-professional listers and wide area network environment.

Description

technical field [0001] The invention belongs to the field of computer application technology, relates to the cataloging of digital audio and video materials in the wide area network environment, provides an efficient, automatic and intelligent cataloging method for professional and non-professional content creators and catalogers in the wide area network environment, and can solve the problems faced by the current cataloging system. Problems such as local area network, strong professionalism, heavy workload, repetitive labor, and low degree of automation can significantly improve cataloging efficiency and reduce manual labor. Background technique [0002] The cataloging quality and speed of digital audiovisual materials directly affect resource management, cost-effectiveness, and resource reuse. [0003] The large-scale video cataloging work in China basically started in 2002. Since the establishment of a media asset management platform requires considerable technical and m...

AI Technical Summary

Problems solved by technology

These methods are aimed at the video content itself, the algorithm is relatively complex, the adaptability is very weak, the realization accuracy is low, and it is greatly affected by the quality of the video content itself

[0005] At present, there are still the following main problems in the cataloging of digital audio and video materials: First, there are many cataloging items, which require catalogers to enter manually one by one according to their professional knowledge, which is a heavy workload and prone to errors; second, the degree of intelligence and automation is low, and they cannot be automatically obtained. Cataloging information is inefficient; third, the cataloging environment is generally a local area network, which limits the sources and channels for automatic acquisition of cataloging information; fourth, the professional level of cataloging personnel is high, and with the gradual popularization of audio and video collection equipment, content production Began to personalize and publicize, and the cataloging work has gradually tended to be completed by non-professionals

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