Image retrieval method on basis of multi-feature fusion

A multi-feature fusion and image retrieval technology, which is applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as difficult to obtain image retrieval results

Inactive Publication Date: 2014-05-21
XIDIAN UNIV
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AI Technical Summary

Problems solved by technology

Although today's image retrieval methods based on multi-feature fusion can improve the accuracy of image retrieval and ranking results to a certain extent, essential problems still exist.
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  • Image retrieval method on basis of multi-feature fusion
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  • Image retrieval method on basis of multi-feature fusion

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Embodiment Construction

[0039] specific implementation plan

[0040] Below in conjunction with accompanying drawing, technical content and effect of the present invention are described in further detail:

[0041] refer tofigure 1 , the present invention extracts image features, image coarse retrieval and reference image selection, feature fusion template matrix calculation and image fine retrieval four parts, concrete steps are as follows:

[0042] 1. Extract image features

[0043] Step 1: For each image in the image set to be retrieved, extract its 8192-dimensional BoW visual bag-of-words word frequency feature, 960-dimensional GIST frequency-domain scene description feature and 512-dimensional HSV color histogram feature.

[0044] Step 2: Calculate the semantic attribute features of the image to be retrieved

[0045] 2.1) Artificially define 2659 kinds of basic semantic tags, such as streets, people, etc., and learn through offline training. For each basic semantic tag, train a classifier corres...

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Abstract

The invention discloses an image retrieval method on the basis of multi-feature fusion, which is mainly used for solving the problem of low accuracy of retrieving an image in the prior art. The image retrieval method comprises the following implementing steps: (1) extracting three visual features and semantic attribute features of all images in an image set to be retrieved; (2) calculating an adjacent distance matrix among all the images in the image set to be retrieved; (3) carrying out rough retrieval on the inquired images in each feature channel; (4) according to a rough retrieval result of each feature channel, analyzing the semantic attribute features of the images in the rough retrieval result and selecting a reference image; (5) according to the selected reference image, calculating each feature fusion template matrix; (6) according to the obtained fusion template matrice, obtaining a fused distance measure matrix; (7) according to the obtained distance measure matrix, returning a retrieval result to a user. The image retrieval method obviously improves accuracy of final image retrieval and can be used for image retrieval.

Description

technical field [0001] The invention belongs to the technical field of information retrieval, and specifically relates to an image retrieval method based on image multi-feature fusion, which can be used in the field of Internet image retrieval. Background technique [0002] Under the current Internet background, most commercial network image search engines such as Google, Image Search, and Bing use text-based retrieval technology, mainly using annotations such as titles and description text around images to make similar queries to query text. Sex matching, using this similarity to retrieve the retrieved images. However, techniques based solely on text retrieval often fail to achieve good results due to the semantic gap between text and image content. In addition, due to the presence of ambiguous noise data in image annotation, the correctness of image labels derived from image metadata analysis is often not guaranteed. [0003] In order to improve the accuracy of existing ...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06K9/66
CPCG06F16/583G06F16/5838G06F18/21G06F18/22
Inventor 邓成王嘉龙杨延华李洁彭海燕高新波
Owner XIDIAN UNIV
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