Image classification method, image classification device, image retrieval method and image retrieval device

Abstract

The invention provides an image classification method, an image classification device, an image retrieval method and an image retrieval device, wherein the image classification method concretely comprises the following steps that physical characteristics of images to be classified are extracted; the images to be classified are subjected to semantic annotation to obtain corresponding annotation words; by aiming at the annotation words of the images to be classified, the annotation words are matched with semantic words in a semantic network, and in addition, semantic characterization polybasic groups are generated according to the semantic characterization corresponding to the successfully matched semantic words; semantic words and a plurality of corresponding semantic characterizations are stored in the semantic network, and the semantic characterizations are described by physical characteristics; and characteristic vectors consisting of the physical characteristics of the images to be classified and the semantic characterization polybasic groups are input into an image classifier, and corresponding classification results are output, wherein the image classifier is a classifier obtained according to the image sample training under each image type, and the physical characteristics and the arity of the semantic characterization polybasic groups are identical in the training and classification process. The methods and the devices provided by the invention have the advantage that the image classification accuracy can be improved.

Description

Technical field [0001] This application relates to the technical field of image information processing, in particular to an image classification method and device, and an image retrieval method and device. Background technique [0002] At present, with the rapid development of modern electronic computer technology and networks, huge and diverse image information continues to appear, and images are used more and more widely in all walks of life, which promotes the further development of image information processing. Existing images are widely distributed on the Internet, lack of effective organization, and it is difficult to achieve the purpose of resource sharing. Therefore, how to find the information you need from so many image information is a major challenge to image information processing technology. [0003] The image classification method is an image processing method that distinguishes different types of targets according to the different characteristics reflected in the i...

AI Technical Summary

Problems solved by technology

[0004] Most of the existing image classification methods classify images based on the physical characteristics of images such as color, shape, texture and spatial position, which can provide effective classification methods, but because they almost completely rely on The physical characteristics of the image, and the image information described by the physical characteristics is limited, so the problem of insufficient accuracy will inevitably appear in the classification results

For example, an image containing a red horse in profile and an image containing a white horse in front, because the physical characteristics (color, shape, texture, etc.) of the two are very different, therefore, purely relying on physical characteristics, it is easy to classify the two into different categories, but in fact both belong to the "horse" category, which leads to inaccurate classification results

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