DocumentCode :
1653948
Title :
Research of style-based clothing image retrieval
Author :
Zhang, Haibo ; Jiang, Yan
Author_Institution :
Computer & Information Center, Beijing Institute of Fashion Technology, Beijing, P. R. China
fYear :
2011
Firstpage :
1
Lastpage :
4
Abstract :
Facing a great mass of clothing images on the Internet and the improvement of image retrieval result, text-based image retrieval has not perfectly meet the needs of people. Content-based retrieval increasingly shows its powerful search capabilities. But its problems, such as semantic gap and precise search, have not been resolved very well. Image for the clothing, this paper put forward that using clothing style domain knowledge in image retrieval can to some extent solve the semantic gap and precise search of clothing image retrieval, and give a test and verification.
Keywords :
Algorithm design and analysis; Clothing; Computers; Image color analysis; Image retrieval; Semantics; Textiles; Clothing image; Clothing style; Image retrieval;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
E -Business and E -Government (ICEE), 2011 International Conference on
Conference_Location :
Shanghai, China
Print_ISBN :
978-1-4244-8691-5
Type :
conf
DOI :
10.1109/ICEBEG.2011.5882416
Filename :
5882416
Link To Document :
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