DocumentCode :
3312132
Title :
Determination of Degree of Relevancy of Design Elements and Fashion Image with Semantic Network
Author :
Chen, Xia ; Zeng, Xianyi ; Koehl, Ludovic
Author_Institution :
Coll. of Textile, DongHua Univ., Shanghai
Volume :
7
fYear :
2008
fDate :
18-20 Oct. 2008
Firstpage :
75
Lastpage :
79
Abstract :
A customer has idea of different design elements associated with the garment, which he wants to buy. A questionnaire using items, which gives the representation of design elements, is prepared for fashion images. The representation of design elements is divided into several sections at different level. The relevancy between design elements and fashion image is determined by semantic network, in which an image object retrieval model is applied. The weights at each level are initialized and updated with relevance feedback technology. The experimental results show the efficiency of this method.
Keywords :
clothing; electronic commerce; image retrieval; relevance feedback; design elements; fashion image; garment; image object retrieval; relevance feedback technology; semantic network; Clothing; Computer networks; Educational institutions; Fabrics; Feedback; Image retrieval; Mass customization; Principal component analysis; Process design; Textiles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation, 2008. ICNC '08. Fourth International Conference on
Conference_Location :
Jinan
Print_ISBN :
978-0-7695-3304-9
Type :
conf
DOI :
10.1109/ICNC.2008.984
Filename :
4667948
Link To Document :
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