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Search method of related feedback images

A technology of image retrieval and related feedback, which is applied in the fields of instruments, computing, and electronic digital data processing, etc., to achieve the effect of fast provision, taking into account the requirements of real-time performance, and efficient and intelligent retrieval effect

Inactive Publication Date: 2011-06-15
WUHAN UNIV
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  • Claims
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AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is to address the deficiencies and defects of the relevant feedback technology based on the support vector machine in the existing image retrieval, and propose a kind of relevant feedback image retrieval method with efficient intelligent retrieval effect in the case of small samples

Method used

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  • Search method of related feedback images

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Embodiment Construction

[0024]The specific implementation of the related feedback image retrieval method provided by the present invention can be found in figure 1 , step-by-step details are as follows:

[0025] Step 1, initial retrieval: for the retrieved image, extract its underlying visual features, measure the similarity with the feature library formed by all the images in the image database, sort the images in the image database according to the size of the similarity, and output them sequentially as the initial retrieval result.

[0026] During specific implementation, the retrieval image can be selected arbitrarily, provided by the user, or selected from an image database. The feature library formed by all the images in the image database is the collection of the underlying visual features of all the images in the image database, which can be stored in the form of a database, and belongs to the realization basis of content-based image retrieval. In the initial retrieval, the similarity measu...

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Abstract

The invention relates to a search method of related feedback images. The search method comprises the following steps: initially searching, selecting feedback samples, establishing a separating hyperplane of a support vector machine, establishing transformation mapping by biased discriminant analysis, constructing a piecewise similarity measurement function, and performing multi-feedback turn combination and feedback iteration. The method helps cause efficient intelligent retrieval effect in the case of small samples and can help meet real-time requirements by performing three operations of support vector machine classification, the biased discriminant analysis transformation mapping and the multi-feedback turn combination.

Description

technical field [0001] The present invention relates to the field of image retrieval and recognition, and more particularly relates to a correlation feedback image retrieval method, especially a correlation feedback image retrieval method based on segmental similarity measurement and multi-round combination. Background technique [0002] Images are one of the most common and informative media in the multimedia information base. With the development of photographic equipment and the increasing demand of people for digital images, hundreds of gigabytes or even terabytes of digital images are generated every day. How to obtain information that users are interested in from a large number of digital image databases has become a key issue in digital image utilization. Therefore, it is very meaningful to study the image retrieval technology for the organization and management of the image database and the acquisition of image information. The application fields of image retrieval...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/30
Inventor 曹永锋陈荣殷慧
Owner WUHAN UNIV
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