Image retrieval method based on hierarchical clustering

A technology of hierarchical clustering and image retrieval, applied in the field of image processing, can solve the problem of time-consuming and labor-intensive

CN101751439AInactive Publication Date: 2010-06-23INST OF AUTOMATION CHINESE ACAD OF SCI
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Publication Date
2010-06-23
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention relates to an image retrieval method based on hierarchical clustering, proposes a system schema based on hierarchical clustering network image retrieval on the basis of the traditional image search engine through keyword semantic analysis and image visual clustering, and mainly includes that: (1) the image retrieval results are clustered in semantic level; (2) the image retrieval results are clustered in visual characteristic level; and (3) the hierarchical clustering navigation display is realized in a rapid and efficient way. Compared with the traditional image search engine, the invention adds the clustering idea to the image retrieval. The keywords are semantically analyzed to form different subjects; meanwhile, the images are also analyzed in visual characteristic level to cluster similar images in a class, and finally the retrieval results are displayed for the user in classification mode through a concise and clear interface, so as to help users quickly and efficiently find out the required target image from the retrieval results with unsorted subjects.
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Description

technical field

[0001] The invention belongs to the technical field of image processing, and relates to an image retrieval method based on hierarchical clustering. Background technique

[0002] With the popularization of Internet applications and the development of digital media technology, images, as the most important carrier of information transmission, have penetrated into all aspects of people's daily life. Every day, gigabytes or even terabytes of images flood into the Internet. How to effectively organize and manage these images so that users can quickly and accurately find the information they need has become a major problem that needs to be solved urgently.

[0003] Traditional image search engines such as Google, Yahoo, etc., are mostly based on the degree of correlation between the relevant text information of network images and query keywords, and present the search results to users after sorting. However, due to the ambiguity of keywords, the retrieval results ...

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Embodiment Construction

[0024] Various details involved in the technical solution of the present invention will be described in detail below in conjunction with the accompanying drawings. It should be pointed out that the described embodiments are only intended to facilitate the understanding of the present invention, rather than limiting it in any way.

[0025] The present invention analyzes the keywords semantically and the retrieval results from the visual features, and proposes a hierarchical clustering architecture, which automatically clusters the retrieval results and returns them to the user according to the theme, so that the user can conveniently and quickly find the information they need. Information. Such as figure 2 Show the three parts that the system (referred to as this system) overall frame flow chart that realizes with the present invention method comprises: (1) from semantic level to image retrieval result clustering; (2) image retrieval result on visual feature level Clustering...