Journal of Jilin University(Information Science Ed ›› 2015, Vol. 33 ›› Issue (6): 728-.

Previous Articles    

Clothing Retrieval Based on Multi-Feature Index and Local Constraint

WANG Dan1,2, ZANG Xuebai2   

  1. 1. College of Information Technology and Media, Beihua University, Jilin 132011, China;
    2. College of Computer Science and Technology, Jilin University, Changchun 130012, China
  • Received:2015-07-08 Online:2015-11-27 Published:2016-01-04

Abstract:

According to the two characteristics of clothing (the importance of color information and the little variation in local areas) in content-based clothing retrieval application, the paper proposed a clothing retrieval method based on multi-feature index and local constraint. We construct two inverted file index structure with color feature and SIFT feature based on Bag of Words model respectively. Experimental results based on the clothing image database with the various situations demonstrate that our method could work well.

Key words: clothing retrieval, bag of words ( BoW) model, multi-feature index, geometric verification, local constraint

CLC Number: 

  • TP393