Computer Science ›› 2016, Vol. 43 ›› Issue (Z11): 252-255.doi: 10.11896/j.issn.1002-137X.2016.11A.058

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Hierarchical Semantic-based Web Intelligent Fashion Image Retrieval Method

GENG Zeng-min, SHANG Shu-yuan, SHAO Xin-yan, ZHOU Yi-ling and MA Lin   

  • Online:2018-12-01 Published:2018-12-01

Abstract: Aiming at the large-scale automatic collection of fashion images from Web,this paper studied how to use association between the accompany text and the concept of fashion images on Web pages to collect images automatically.Based on the acquisition of semantic-based Web content and the drawbacks of HITS (Hyperlink-induced Topic Search) method,a novel SICR (Semantic-based Image Collection Robot) method was proposed to collect the fashion images from Web.The proposed method (SICR),under the support of the hierarchical semantic library,removes Link Farm page in the expansion of root set,does the similarity calculation for anchor text when crawling link pages.In addition,it makes a brief conceptual analysis of the page content before downloading images.The experimental results on the large-scale dataset have demonstrated that the proposed method can overcome the deficiency of only text or link-based analysis and improve the precision rate and recall rate of fashion image retrieval,experimental results demonstrate the effectiveness of SICR.

Key words: Image semantics,Image retrial,Fashion image,Web mining

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