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Image searching result ordering method based on perceptual cognition

An image retrieval and sorting method technology, applied in the field of image search, can solve the problems of lack of real experience, failure to consider people's purchasing environment, and users' inability to use words to accurately describe needs, so as to facilitate online commodity transactions, reduce search time, and promote effect of development

Inactive Publication Date: 2010-10-06
HANGZHOU TAOTAOSOU TECH
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AI Technical Summary

Problems solved by technology

[0005] The existing CBIR has the following shortcomings: For the CBIR system of clothing, the existing application only relies on the visual features of the image for retrieval, without considering people's purchasing environment in reality, and lacks a sense of real experience
In addition, although there are various powerful text search engines, for apparel products, users often cannot accurately describe their needs in words

Method used

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  • Image searching result ordering method based on perceptual cognition
  • Image searching result ordering method based on perceptual cognition
  • Image searching result ordering method based on perceptual cognition

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Embodiment Construction

[0029] Taking the retrieval and display of images of clothing as an example, the present invention will be further described in detail in conjunction with the accompanying drawings. The operations involved in the present invention can be integrated as shown in the following table, and the framework and flow of the whole system are shown in figure 1 shown.

[0030] The method for sorting image retrieval results based on perceptual cognition of the present invention comprises the following steps:

[0031] 1.1) Before constructing the image feature database, the target automatic positioning method is used to obtain the mask area of ​​the stored image.

[0032] Depend on figure 1 It can be seen that the target extraction module includes four steps: network data capture, preliminary filtering sub-module, target positioning sub-module, and image mask extraction sub-module. The network data capture module uses the network crawler robot to collect relevant clothing images from th...

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Abstract

The invention discloses an image searching result ordering method based on perceptual cognition, which mainly orders images results based on the objective characteristics and the subjective perceptual cognition of images. Based on the understanding to the images, the characteristics of the images are extracted to obtain the similarity and a display method is laid out based on the user experience. Under the circumstance that the invention cannot be accurately expressed, a user can better display the shopping need on a platform, thereby reducing the time for the user to search a commodity and more effectively promoting a network commodity transaction. Simultaneously, the image searching result ordering method based on perceptual cognition can promote the development of the electronic shopping platform so that China's electronic commerce network platform is more diversified.

Description

technical field [0001] The invention relates to the technical field of image search, in particular to a method for sorting image retrieval results based on perceptual cognition. Background technique [0002] Currently there are several typical search engines on the market, including Baidu, Google, Sogou of Sohu and Bing of Microsoft. The above-mentioned search engines are text-oriented, suitable for various users, and have basically occupied the text search market. [0003] But the text search engine also has some deficiencies and defects. When people want to search for some content that cannot be accurately described, or the content that needs to be searched contains subjective concepts, or the data that needs to be searched and known formats (audio, video, image, 3D grid and other multimedia data) are very difficult When it comes to similar results, text search shows its inadequacy. For this reason, some image-based search engines have appeared on the market. [0004] ...

Claims

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Application Information

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IPC IPC(8): G06F17/30G06Q30/00
Inventor 王海洋黄琦徐舒畅郑聃林建聪
Owner HANGZHOU TAOTAOSOU TECH
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