Title
Clothing retrieval based on image bundled features
Abstract
How to evaluate the similarity between two clothing images is the core technical problem of image based clothing retrieval which is extremely useful in aiding online clothing shopping. According to the characteristics of clothing, we address this issue by computing the similarities between the bundled features of different clothing images. Each bundled feature consists of the point features (SIFT) which are further quantified into local visual words in a maximally stable extremal region (MSER). Researches show that bundled feature becomes much more discriminative than single feature, while the intrinsic geometric constraint of a bundled feature is still defective. In this paper, we add a geometric constraint by SIFTs distance matrix to improve the discriminative power. SIFTs distance matrix is constructed by the distances between every two point features (SIFT) in a bundled feature; it has its merits of scale invariance and rotation invariance. Thus, we can match the bundled features of two clothing images and calculate their similarity. Experimental results based on the clothing image database show that our approach works well in the situations with large clothing deformation, background exchange and part hidden, etc.
Year
DOI
Venue
2012
10.1109/CCIS.2012.6664323
Proceedings - 2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems, IEEE CCIS 2012
Keywords
DocType
Volume
distance matrix,part hidden,image similarity,bundled feature,image matching,background exchange,clothing deformation,sifts distance matrix,scale invariance,discriminative power,image bundled features,matrix algebra,clothing retrieval,retailing,online clothing shopping,scale invariant feature transforms,rotation invariance,clothing image database,feature extraction,image retrieval,sift point features,geometric constraint,image based clothing retrieval,maximally stable extremal region,mser,clothing image similarity,local visual words
Conference
2
Issue
ISSN
ISBN
null
null
978-1-4673-1855-6
Citations 
PageRank 
References 
0
0.34
12
Authors
5
Name
Order
Citations
PageRank
Qi-Jin Chen1164.67
Jituo Li25510.00
Guodong Lu36814.74
Xinyu Bi400.34
Bei Wang552861.48