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An Image Retrieval Method Based on Semantic Mapping Space Construction

A technology of semantic mapping and image retrieval, applied in the field of image retrieval based on semantic mapping space, which can solve the problems of low accuracy and low efficiency of network image retrieval.

Active Publication Date: 2017-05-17
HEFEI UNIV OF TECH
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AI Technical Summary

Problems solved by technology

[0007] The present invention aims to solve the problems of low accuracy and low efficiency of current network image retrieval, and proposes an image retrieval method based on semantic mapping space, which can effectively improve the accuracy of image retrieval

Method used

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  • An Image Retrieval Method Based on Semantic Mapping Space Construction
  • An Image Retrieval Method Based on Semantic Mapping Space Construction
  • An Image Retrieval Method Based on Semantic Mapping Space Construction

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Embodiment Construction

[0052] In this embodiment, a retrieval method based on semantic mapping space is mainly used for Internet image retrieval, and is applied to domestic and foreign Internet search engines such as Baidu, Google, Bing, and Yahoo. The method of the invention is characterized in that the semantic concept and the image are mapped into the same representation space, and the retrieval is completed by measuring the distance between the semantic concept and the image in the space.

[0053] Such as figure 1 Shown, the main steps when the inventive method carries out image retrieval are as follows:

[0054] Step 1. Learning the Semantic Mapping Space

[0055] Step 1.1. Obtain a training image data set and an unlabeled image data set from the network image data set. The training image data set includes n training images; the unlabeled image data set includes m unlabeled images; the acquisition corresponds to n training images Semantic concept, and let the same semantic concept be indexe...

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Abstract

The invention discloses an image retrieval method based on semantic mapping space construction. The image retrieval method is characterized by comprising the steps of (1) learning semantic mapping space, (2) estimating a semantic concept of each image which is not labeled, (3) conducting ascending sorting on the images corresponding to the semantic concepts in the semantic space, (4) inputting text search terms to be retrieved, and returning the images corresponding to the semantic concepts. According to the image retrieval method, the image retrieval accuracy can be effectively improved.

Description

technical field [0001] The invention belongs to the technical field of information retrieval, and mainly relates to an image retrieval method based on semantic mapping space construction. Background technique [0002] The 21st century is the information age, with the further popularization and rapid development of computer and network technology, the multimedia data represented by images on the Internet is growing explosively. Therefore, image retrieval technology has received more and more attention from researchers in different fields. Researchers aim to provide users with better image browsing and retrieval services to improve user satisfaction in image retrieval. [0003] The mainstream image retrieval methods can be divided into two categories: text-based image retrieval and content-based image retrieval. [0004] Text-based image retrieval methods usually use text information to describe image content, and use short annotations or text labels to index images in databa...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/30
CPCG06F16/50
Inventor 汪萌杨勋洪日昌郭丹刘奕群孙茂松
Owner HEFEI UNIV OF TECH
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