Method and system for carrying out semantic description on audio and video contents

Abstract

The invention discloses a method and a system for carrying out semantic description on audio and video contents. The method comprises the following steps of: firstly, splitting the audio and video contents into multiple fragments, endowing a structure attribute used for marking sequence and nest relation of each fragment for each fragment, and generating an XML (Extensive Makeup Language) file provided with the sequence and the nest relation; secondly, respectively carrying out semantic description on each fragment in the XML file according to a structural dictionary and a semantics dictionary to form a new XML file; and at last, adding an XML Schema announcement and a copyright announcement to the new XML file, adding into original audio and video files to generat an audio and video file comprising the XML file, or simultaneously adding a position of the fragment of the corresponding audio and video file into the new XML file to generatthe XML file corresponding to the original audio and video files. According to the method and system provided by the invention, the precise search of audio frequency and video frequency based on the audio and video files or the XML file corresponding to the original audio and video files can be realized.

Description

technical field [0001] The invention relates to the technical field of audio and video digital publishing, in particular to a method and system for semantically describing audio and video content. Background technique [0002] With the development of human society, the way people acquire knowledge and information is changing. Publishing and IT companies are currently processing a large number of audio and video files in various formats and putting them on the Internet, electronic paper books, and tablet computers. Many people prefer to accurately obtain part of the content of an audio and video, or even a small part of the content. However, the current retrieval methods for audio and video files in these formats can only be based on the file name, author, title, keywords, etc. of the audio and video file. Retrieval is based on the basic attributes of the audio and video files themselves. Since video files cover a lot of content, most of the content in an audio and video file...

AI Technical Summary

Problems solved by technology

Many people prefer to accurately obtain part of the content of an audio and video, or even a small part of the content. However, the current retrieval methods for audio and video files in these formats can only be based on the file name, author, title, keywords, etc. of the audio and video file. Retrieve based on the basic attributes of audio and video files themselves. Since video files cover a lot of content, most of the content in an audio and video file may not be what readers need

Existing retrieval methods cannot locate a more specific location in a single audio and video file, resulting in the inability to accurately retrieve what the reader really wants

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