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Image retrieval ranking method and device

An image retrieval and image technology, applied in the field of image processing, can solve the problem of inaccurate image retrieval

Active Publication Date: 2014-04-02
SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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Problems solved by technology

[0007] In order to solve the problem of inaccurate image retrieval in the prior art, the embodiment of the present invention provides a method and device for image retrieval and sorting

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  • Image retrieval ranking method and device
  • Image retrieval ranking method and device

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Embodiment Construction

[0058] In order to make the object, technical solution and advantages of the present invention clearer, the implementation manner of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0059] The method provided by the present invention includes: searching the network image database according to the keyword input by the user to obtain the image set corresponding to the keyword, and performing denoising processing on the image set in a feature clustering manner to obtain the corresponding class image set; Perform inter-class optimization processing between the class image set and other class image sets that have been established in the network image database, and perform a second deselection on the images in the class image set through the inter-class optimization processing. The optimized image set is obtained by noise processing; the optimized image set is weighted and calculated according to the confidence score to ...

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Abstract

The invention discloses an image retrieval ranking method and device. The method comprises the steps: searching a network image database to obtain image sets corresponding to keywords according to the keywords input by a user, and causing the image sets to be subjected to denoising processing in a characteristic clustering way respectively to obtain corresponding cluster-oriented image sets; causing the cluster-oriented image sets and other cluster-oriented image sets already established in the network image database to be subjected to inter-cluster optimizing processing in a paired way and causing images in the cluster-oriented image sets to be subjected to secondary denoising processing to obtain optimized image sets; causing the optimized image sets to be subjected to weighting computation to obtain high density image sets according to the confidence fraction, and ranking the high density image sets according to a linear ranking model to obtain an image ranking result. The device comprises a clustering denoising module, an inter-cluster optimizing module and a ranking module. The retrieval ranking precision is improved through three-layer retrieval ranking.

Description

technical field [0001] The invention relates to the field of image processing, in particular to a method and device for image retrieval and sorting. Background technique [0002] Network image retrieval usually adopts a search method based on text keywords. Currently, search engines determine the ranking of retrieved images by matching search keywords and text labels of images. However, the accuracy of retrieval results is not satisfactory because there are many wrong text labels in network images. In view of the uncertainty of network image retrieval in terms of user needs. It is an impossible task to exhaustively enumerate all keywords and store the sorting results in advance. At the same time, many applications rely on collecting a large number of categorized images, and the method of manual calibration and assisted sorting by users will also become labor-intensive. Therefore, an ideal image retrieval and ranking technology should not rely on any pre-storage and manua...

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Application Information

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IPC IPC(8): G06F17/30G06K9/62
CPCG06F16/5866G06F18/23
Inventor 陈世峰曹琛
Owner SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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