Intelligent identification and retrieval system for massive graphic images

Abstract

The invention discloses an intelligent identification and retrieval system for massive graphic images. The system comprises a central processing module, an image data import module and a user login module; the output end of the image data import module is electrically connected with the input end of the central processing module, and the central processing module and the user login module are in bidirectional electrical connection. The invention relates to the technical field of image recognition and retrieval. According to the intelligent identification and retrieval system for massive graphic images, the color features and the continuous dynamic features in the image can be identified and retrieved; the purposes of shape feature recognition and retrieval and color and dynamic feature retrieval can be well achieved; the three characteristics are combined to reduce the retrieval range of massive image data, the retrieval function is well enriched, the retrieval range is reduced, a large amount of waiting and screening time of retrieval personnel does not need to be spent, and the working time of the retrieval personnel is greatly saved.

Description

technical field [0001] The invention relates to the technical field of image recognition and retrieval, in particular to an intelligent recognition and retrieval system for massive graphic images. Background technique [0002] Since the 1970s, research on image retrieval has begun. At that time, it was mainly text-based image retrieval technology, referred to as TBIR, which used text descriptions to describe the characteristics of images, such as the author, age, genre, and size of paintings. After the 1990s, an image retrieval technology that analyzes and retrieves the content semantics of images, such as image texture and layout, has emerged, that is, content-based image retrieval, referred to as CBIR technology, and CBIR belongs to content-based retrieval, referred to as CBR CBR also includes retrieval technologies for other forms of multimedia information such as video and audio. In terms of retrieval principles, whether it is text-based image retrieval or content-based ...

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Problems solved by technology

[0005] Aiming at the deficiencies of the prior art, the present invention provides an intelligent identification and retrieval system for mass graphics and images, which solves the problem that the existing retrieval method is relatively single, and can only identify and retrieve some shape features in the image, and still requires a lot of search personnel. The waiting and screening time is too long, the color features and continuous dynamic features in the image cannot be identified and retrieved, and the purpose of both shape feature recognition and color and dynamic feature retrieval cannot be achieved. The combination of features to reduce the retrieval scope of massive image data greatly wastes the working time of retrieval personnel

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