Rapid image retrieval method based on integrated Hash encoding

Abstract

The invention discloses a rapid image retrieval method based on integrated Hash encoding, belongs to the technical field of digital image retrieval. The rapid image retrieval method comprises the following steps: firstly, extracting a training image and checking the SIFT characteristics of the image, and performing initial Hash encoding on the training image by using M Hash algorithms; subsequently relearning the initial Hash encoding result by using a consistency constraint rule in integrated learning, so as to obtain an integrated Hash mapping matrix; and finally performing integrated Hash encoding on the training image and the checking image again, and performing rapid retrieval by calculating the Hamming distance between the checking image and the training image on the basis of the integrated Hash encoding. According to the integrated Hash encoding used in the method, the characteristics and advantages of different Hash algorithms can be combined simultaneously, the problem that a single Hash algorithm is insufficient in judgment power and the application range is limited are solved, and thus rapid retrieval of images is relatively accurate and efficient.

Description

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AI Technical Summary

Benefits of technology

This patented technology allows for faster image search by combining various techniques from existing methods such as histogram analysis or fuzzy logic with an improved version that combines these two approaches together. By doing this it improves both speeding up searching but also ensuring accurate results when looking at large amounts of data.

Problems solved by technology

Technological Problem addressed in this patents relates to improving speed and performance when searching complex media like web images due to limitations associated with existing approaches that use static attributes alone. Existing solutions require extensive processing power and storage capacity while still requiring significant amounts of computational effort.

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