System and method for extracting picture abstract based on page partitioning

Abstract

The invention discloses a system for extracting a picture abstract based on page partitioning, which comprises a page preprocessing module, a page sorting module, a page partitioning module, a subject block identifying module and an information extracting module. The invention also discloses a method for extracting the picture abstract based on the page partitioning, which specifically comprises the following steps that: 1, a page is crawled on the Internet; 2, the page preprocessing module preprocesses the page; 3, the page sorting module sorts the preprocessed page; 4, the page partitioning module partitions a semantic chunk; 5, the page partitioning module sends the subject type page to the subject block identifying module, and the subject block identifying module identifies the subject block and then sends the subject block to the information extracting module; and the page partitioning module sends the non-subject type page to the information extracting module; and 6, the information extracting module downloads the picture and is correlated with the page. The system and the method have the advantages of high extracting speed, high accuracy and good effect.

Description

Technical field [0001] The invention relates to the technical field of picture abstract extraction, in particular to a picture abstract extraction system and method based on page segmentation. Background technique [0002] With the rapid development of informatization today, there are multiple sources of information both inside and outside organizations such as enterprises, governments, and schools. The amount of information on the Internet is huge, and the number of knowledge documents existing within the organization is also exploding. [0003] Current retrieval systems mostly only provide page titles, text abstracts, and page snapshot functions. This will inevitably fail to meet the increasing search requirements of users. The text abstract is to extract the most relevant text fields of the page and search terms from the page text as a kind of abstract of the page. Although the abstract can also fill the user's cognitive blind spots on the page to a certain extent, it lacks th...

AI Technical Summary

Problems solved by technology

This will inevitably fail to meet the growing search needs of users.

Text summarization is to extract the most relevant text field from the page text as a summary of the page. Although this summary can also fill in the blind spots of the user's cognition of the page to a certain extent, it lacks the content of the page. intuitive information

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