Large-Scale Image Database Retrieval Method Based on Optimal K-means Hashing Algorithm

Abstract

A large-scale image library retrieval method based on the optimal K-means hash algorithm, comprising: selecting some images from the image library to be retrieved as a training image set, first extracting the GIST features of the images in the training set; Preprocessing of feature value assignment; dividing the preprocessed feature data into multiple subspaces; training the codebook and codebook encoding of the subspace for each subspace; processing the feature data in the image library to be retrieved and the query image Corresponding to the training process, extract the GIST features of the retrieval image and the query image respectively, then calculate the hash codes of the features of the image to be retrieved and the query image, and then calculate the Hamming distance between the feature codes of the image to be retrieved and the feature code of the query image , so as to quickly retrieve similar images. The invention has good universality, not only reduces the storage space of data but also improves the retrieval efficiency of query.

Description

technical field [0001] The invention belongs to the technical field of image retrieval, and more specifically relates to a content-based image retrieval method, in particular to a large-scale image database retrieval method based on an optimal K-means hash algorithm. Background technique [0002] With the rapid development of the Internet, image data on the Internet is increasing day by day, how to quickly and accurately provide users with required image resources is becoming more and more important. Content-Based Image Retrieval (Content-Based Image Retrieval, CBIR) technology emerged as the times require, and has attracted the attention of many researchers. Generally speaking, the CBIR system mainly includes two core research contents, one is effective image feature representation, and the other is efficient retrieval algorithm. Describe the image content by extracting the features of the image, such as GIST features (for details, please refer to the article Aude Oliva an...

AI Technical Summary

Problems solved by technology

[0006] In order to overcome the defects of the above-mentioned KH, the present invention proposes a large-scale image library retrieval method based on the optimal K-means hash algorithm to solve the problems of large storage space and slow retrieval speed in image feature databases that exist when searching for massive images

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