• 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