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Semantic mapping-based clothing image retrieving method

A technology of image retrieval and clothing, applied in special data processing applications, instruments, electrical digital data processing, etc.

Inactive Publication Date: 2011-11-23
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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  • Abstract
  • Description
  • Claims
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Problems solved by technology

[0006] The purpose of the present invention is to solve the existing problems of clothing retrieval, and propose a clothing image retrieval method based on semantic mapping

Method used

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  • Semantic mapping-based clothing image retrieving method
  • Semantic mapping-based clothing image retrieving method
  • Semantic mapping-based clothing image retrieving method

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Embodiment Construction

[0021] Below in conjunction with accompanying drawing, the present invention is described in further detail:

[0022] Such as figure 1 , the overall flowchart of clothing image retrieval based on semantic mapping is described in the figure. On the basis of constructing the clothing domain knowledge base and obtaining the semantic information of the clothing image, the user submits the clothing image to be queried, preprocesses the image to be queried, and extracts the color features and texture features of the image to be queried based on the preprocessing , gradient features, shape features, and local point features. According to these extracted underlying features of the clothing image to be queried, calculate the distance from the existing clusters in various feature sample libraries, and determine the category of the underlying features for the clothing image to be queried. The image cluster of its color should be determined in the library. Similarly, the sample clusters...

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Abstract

The invention belongs to the field of computer multimedia technologies and discloses a semantic mapping-based clothing image retrieving method. The semantic mapping-based clothing image retrieving method specifically comprises the steps of: constructing a clothing field knowledge base, acquiring semantic information of clothing images and retrieving clothing images to be inquired. According to the method disclosed by the invention, the clothing field knowledge base is constructed by means of multi-class feature clustering depending on existing clothing images and corresponding textual description information; clothing image information in the knowledge base, co-occurrence information of the clothing images and description texts in the knowledge base and clothing description text information in the knowledge base are fused by a Graph Cut model for acquiring cloth semanteme from the submitted images to be inquired; and similar clothing images are retrieved for the submitted clothing images according to the acquired clothing semanteme.

Description

technical field [0001] The invention belongs to the technical field of computer multimedia, and in particular relates to an image retrieval technology. Background technique [0002] With the rapid development of my country's economy, the gradual improvement of people's living standards and the gradual development and improvement of Internet trading platforms, online shopping has become one of the important forms of daily consumption, and the biggest difference between online shopping and traditional shopping lies in the availability of product information. In terms of acquisition methods, traditional shopping can get a lot of first-hand information through inquiry, observation, and touch, and look for similar products by walking around the streets. However, in the online shopping environment, customers can only rely on search engines to complete similar activities. All major shopping websites at home and abroad provide text search services, but text search services are general...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
Inventor 周景磊叶茂丁剑
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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