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Image retrieval method based on image classification

An image retrieval and image technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problem of slow retrieval speed, etc., and achieve the effect of improving speed and robust algorithm

Inactive Publication Date: 2012-04-04
ZHEJIANG UNIV
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  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide an image retrieval method based on image classification, which integrates image classification technology into image retrieval, and solves the limitation of slow retrieval speed in current content-based image retrieval

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  • Image retrieval method based on image classification
  • Image retrieval method based on image classification
  • Image retrieval method based on image classification

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Embodiment Construction

[0030] The object of the present invention is to provide a kind of image retrieval method based on image classification, this method integrates image classification technology into image retrieval, solves the limitation that retrieval speed is too slow in current content-based image retrieval, in order to make the object of the present invention , technical solutions and advantages are clearer, and the implementation of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0031] Before specifically introducing the detailed flow of the present invention, a brief introduction is made to the basic knowledge that the present invention needs to use:

[0032] A: SIFT content feature extraction of images

[0033] The SIFT content feature extraction of images contains two basic algorithms: the extraction of SIFT feature point descriptors and the construction of image SIFT content features.

[0034] A1: SIFT feature point descriptor ...

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Abstract

The invention relates to an image retrieval method based on image classification and aims to solve the problem of lower retrieval speed by the conventional method. The method comprises the following steps of: firstly, determining the class number of images in the image classification and a training image set; secondly, extracting the content characteristics of the training image set for classifier training to obtain a classifier; thirdly, inputting an image to be retrieved, extracting the content characteristics of the image to be retrieved as the input of the classifier to obtain a retrieval image set which corresponds to the class, and extracting the content characteristics of each image in the retrieval image set; and finally, according to the obtained content characteristics, acquiring similarity distances of the image to be retrieved and each image in the retrieval image set by using a similarity calculation algorithm, sorting the distances to obtain N images which are nearest to the image to be retrieved, and outputting the N images. The image retrieval method based on the image classification has the advantage that: by combining an image classification technology and the conventional content-based image retrieval method, an image retrieval speed is greatly improved.

Description

technical field [0001] The invention belongs to the field of multimedia information retrieval, and in particular relates to an image retrieval method based on image classification. The method involves the fields of image processing, computer vision, machine learning, and image retrieval, and can be directly used in the Web environment and under a single computer. Content-based image retrieval. Background technique [0002] With the development of the Internet, multimedia information, especially image information, is being produced and disseminated at an explosive speed. Faced with this vast image treasure house, how to mine those images that meet your needs has become a very difficult problem, so the field of image retrieval has become a hot spot in research and engineering practice in recent years. At present, there are two main methods of image retrieval: text-based image retrieval and content-based image retrieval. [0003] At present, mainstream image search engines ad...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06K9/62
Inventor 潘志庚张明敏张辉李文庆
Owner ZHEJIANG UNIV
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