Method for screening useful images from retrieved images

Abstract

The invention discloses a method for screening useful images from retrieved images, and is mainly used for solving the problem of low accuracy rate of the current image retrieving sequencing results. The method comprises the following main realization steps that (1) database image visual word bag characteristics and semantic attribute characteristics are extracted; (2) mapping dictionaries of the visual word bag characteristics and the semantic attribute characteristics are trained and learned in an off-line way; (3) the retrieval is carried out according to images to be searched given by users to obtain initial image sequencing lists; (4) the visual word semantic importance is analyzed according to the images to be searched given by the users; (5) the visual word context importance is analyzed according to the images to be searched given by the users; (6) by combining the visual word semantics and the context importance, the relevance score of images to be sequenced is calculated again, and the re-sequencing on initial results is completed, so the users can screen out useful relevant images. The method provided by the invention has the advantages that the final image retrieving accuracy rate can be obviously improved, and the method can be used for image retrieving.

Description

technical field [0001] The invention belongs to the technical field of information retrieval, and specifically relates to a method for screening useful images from retrieved images, which can be used to improve the accuracy of image retrieval results on the Internet. Background technique [0002] With the rapid development of Internet technology, Flicker, Renren, Facebook, Sina Weibo and other social media based on the web2.0 environment are increasingly emerging, which makes it possible to share massive multimedia data such as images and videos. Nowadays, there are a large number of images and videos uploaded on the Internet all the time. At the same time, people are becoming more and more accustomed to searching and querying various information such as images and texts on the Internet. In this context, how to achieve efficient image search that meets the user's search intention becomes very important. Under the current Internet background, commercial search engines such ...

AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is to propose a method for screening useful images from retrieved images to solve the problem that noise samples affect the sorting accuracy in the existing sorting process, and the problem that two images cannot be associated due to lack of visual consistency Improve the purity of positive samples in the initial sorting, enhance the query correlation between images, and more accurately obtain images that meet user intentions

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