Video and literature association integration method

Abstract

The invention discloses a video and literature association integration method. The method comprises the following steps: indexing video contents and literature contents by using an automatic indexing technology, a layout analysis technology and a machine learning technology; and carrying out deep fusion association on videos and literatures through a natural language processing technology, a data mining technology and an association rule analysis technology. When a user watches a video and video data is played to an indexing position, an indexing rule is triggered, indexing data is read, and knowledge points and valuable information closely related to the content of the current node of the video are updated and pushed.

Description

technical field [0001] The invention relates to the technical field of resource association integration and data mining, in particular to a method for deeply association integration of video data and document resources. Background technique [0002] At present, the demand for video data and document resources in various industries is getting higher and higher. There are many video websites and document platforms on the market, but they are still only a single search for video data and document resources, and users can only view a single video. or documents, and the degree of video indexing is relatively low, and the technical application of video data and document resource association analysis is relatively insufficient; at the same time, data mining technology itself has limitations, affected by computer technology and mining technology, sometimes even if it is used correctly Without data mining technology, the expected results are often not obtained, and the value of video...

AI Technical Summary

Problems solved by technology

[0002] At present, the demand for video data and document resources in various industries is getting higher and higher. There are many video websites and document platforms on the market, but they are still only a single search for video data and document resources, and users can only view a single video. or documents, and the degree of video indexing is relatively low, and the technical application of video data and document resource association analysis is relatively insufficient; at the same time, data mining technology itself has limitations, affected by computer technology and mining technology, sometimes even if it is used correctly Without data mining technology, the expected results are often not obtained, and the value of video data and document resources cannot be maximized.

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