Mass image searching system based on color features and inverted indexes

An inverted index and image retrieval technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problems of time-consuming, reduce the complexity of color statistics, etc., achieve multi-site traffic, fast and effective image retrieval effect , The effect of a good consumer experience

Inactive Publication Date: 2014-02-19
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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AI Technical Summary

Problems solved by technology

Color features are the most critical and commonly used features, but directly processing the RGB colors of color images is quite time-consuming work, so how to reduce the complexity of color statistics is the first problem faced by massive image processing

Method used

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  • Mass image searching system based on color features and inverted indexes
  • Mass image searching system based on color features and inverted indexes
  • Mass image searching system based on color features and inverted indexes

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Embodiment Construction

[0020] In order to make the purpose, technical solutions and beneficial effects of the present invention more clear, the present invention will be further described in detail below in conjunction with specific cases and with reference to the accompanying drawings.

[0021] The invention is a method for retrieving similar images among massive images on an e-commerce platform. This method can convert image features into text-like keyword features that can be indexed, so that the inverted index search engine can be used to complete the rapid retrieval of images. This retrieval method can well meet the needs of users for fast and effective retrieval methods, and at the same time, it can greatly increase the user experience of e-commerce platforms, and it has been well verified in practice that image retrieval and text retrieval, which are originally irrelevant The benefits of combining the two search methods.

[0022] Our test experiment hardware and software environment is:

[...

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Abstract

The invention provides a mass image searching system based on color features and inverted indexes. The mass image searching system is used in the following steps that firstly, a CIE1976L*a*b*c (Lab for short) color space with good uniformity is selected, K-means clustering is conducted on the space, and n types of colors are obtained; secondly, image pixels to be searched for are mapped according to the principle that color differences are minimum, and dimensionality reduced images are obtained; thirdly, the images obtained in the second step are divided into grids, main colors in grid units are obtained and used as representative colors, and each image is composed of a plurality of representative colors; fourthly, user-defined coding is conducted on the representative colors obtained in the third step, a piece of class text composed of a plurality of character codes is obtained finally, the class text is uploaded to an inverted index server, index building of mass images is completed, and therefore an image searching function can be completed.

Description

field of invention [0001] The invention belongs to the technical field of pattern recognition and information processing, and relates to massive image processing on an e-commerce platform. [0002] In particular, it relates to an implementation scheme of massive image retrieval based on color features and inverted index. Background technique [0003] The e-commerce service industry is experiencing its golden age of development. It is estimated that by 2015, the revenue of China's e-commerce service industry will exceed one trillion yuan, and then China will have the largest and most leading e-commerce service industry in the world. While e-commerce is booming, massive product images are also increasing at a geometric multiple. Therefore, how to quickly and effectively retrieve massive commodity images has become a new research trend. The product image content has obvious shape differences, for example, clothes and pants have great differences in shape. Color features are...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/5838
Inventor 董乐封宁梁燕王冉
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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