Increment neural network and sub-graph code based image classification method

Abstract

The invention discloses an increment neural network and sub-graph code based image classification method. The increment neural network and sub-graph code based image classification method comprises the following steps of: extracting local characteristics; studying increment code books in a network; performing characteristic coding based on a sub-graph; getting image spaces together; and studying a classifier and predicting a model. The increment neural network and sub-graph code based image classification method greatly reduces time complexity of a traditional algorithm to a great extent as the code book can be studied efficiently, and the space relationship between visual words is also kept; in addition, the characteristic coding based on the sub-graph is specifically for performing characteristic coding by fully utilizing the space relationship between the visual words, so that more abundant semantic information can be extracted, and excellent classification performances are obtained finally while the computational efficiency of a classification system is increased. Therefore, the increment neural network and sub-graph code based image classification method has a relatively high use value.

Description

technical field [0001] The invention belongs to the field of image classification, in particular to an image classification method based on incremental neural network and subgraph coding. Background technique [0002] In the current information society, digital media resources represented by images have reached a massive scale and become the main body of current information processing and information resource construction. Traditional technical means have been unable to meet this demand, which poses new challenges to technologies such as image organization, analysis, retrieval and management. Image classification, as the basic technology for machine understanding of images, has been a continuous frontier research hotspot in many important research fields such as pattern recognition, computer vision, information retrieval, artificial intelligence, machine learning and data mining in recent years. Image classification refers to the method of classifying images into specific s...

AI Technical Summary

Problems solved by technology

Although many researchers at home and abroad have devoted themselves to the research of image classification technology, the current image classification still faces many challenges.

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