Extraction of historical events based on Internet cross-media landmarks and search method for related pictures

Abstract

The invention provides an Internet-based cross-media landmark historical event extraction and picture retrieval method. The method comprises two steps of historical event extraction and cross-media picture retrieval based on historical events. Events can be collected from tag sets of photo-sharing websites and extracted from articles in related landmark introduction websites. The extraction of events from tag sets can be realized by utilizing the frequency of each tag in time to select an optimal partition interval of the tags within the time range, obtaining a sudden weight of each tag by an age theory, and performing tag clustering on tags with high sudden weights, wherein each cluster forms an event. Cross-media picture retrieval based on events can be realized by using time constraints and event keywords to retrieve picture sets to obtain an initialized picture ranking result, establishing a model by utilizing visual mode difference between related pictures and irrelevant pictures, removing irrelevant pictures in a retrieval result, and finally establishing a reordering model by using the relativity and diversity of pictures as the constrain to find a corresponding and representative picture set for each event, so as to realize the visualization of the landmark historical events.

Description

technical field [0001] The invention relates to the fields of social media mining and cross-media retrieval, in particular to a method for extracting historical events based on Internet cross-media landmarks and searching for related pictures. Background technique [0002] A landmark is an iconic building in a region. And because of their unique physical, cultural and historical features, they have become popular attractions for tourists. Landmarks are also places where various major events take place. These historical events can deepen the understanding of the cultural value and social functions of the landmarks, thereby providing relevant guidance for tourists. The explosive growth of images on the Internet has led to a rapid increase in the number of landmark images. Effectively using historical events to mine these landmark images and realizing the visualization of landmark historical events can play a huge role in the fields of urban mining and tourism recommendation....

AI Technical Summary

Problems solved by technology

But they generally have the following problems: (1) They do not provide representative pictures for every landmark event, even if some events provide pictures, but the number is too small and lacks diversity; (2) Most of these websites are manually edited, Instead of automatically generating, time-consuming and labor-intensive

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