skip to main content
10.1145/2647868.2656405acmconferencesArticle/Chapter ViewAbstractPublication PagesmmConference Proceedingsconference-collections
short-paper

What are the Fashion Trends in New York?

Authors Info & Claims
Published:03 November 2014Publication History

ABSTRACT

Fashion is a reflection of the society of a period. Given that New York City is one of the world's fashion capitals, understanding its change in fashion becomes a way to know the society and the times. To keep up with fashion trends, it is important to know what's " in" and what's "out" for a season. Though the fashion trends have been analyzed by fashion designers and fashion analysts for a long time, this issue has been ignored in multimedia science. In this paper, we present a novel algorithm that automatically discovers visual style elements representing fashion trends for a certain season. The visual style elements are discovered based on the stylistic coherent and unique characteristics. The experimental results demonstrate the effectiveness of our proposed method through a large number of catwalk show videos.

References

  1. S. C. Hidayati et al. Clothing Genre Classification by Exploiting the Style Elements. In ACM MM, 2012. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Y. Kalantidis et al. Getting the look: clothing recognition and segmentation for automatic product suggestions in everyday photos. In ICMR, 2013. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. S. Liu et al. Hi, magic closet, tell me what to wear!. In ACM MM, 2012. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Vogue. Fashion show - Vogue, Fashion magazine. 2013. http://www.vogue.co.uk/fashion/trendsGoogle ScholarGoogle Scholar
  5. CNN.com International. 2013. http://edition.cnn.com/interactive/2013/09/living/fashion-week-trends/Google ScholarGoogle Scholar
  6. Fashion TV Network's Official Websites. 2013. http://www.fashiontv.com/videos/fashion-weeksGoogle ScholarGoogle Scholar
  7. J. Sivic et al. "Who are you?" - Learning Person Specific Classifiers from Video. In CVPR, 2009.Google ScholarGoogle Scholar
  8. M. Eichner et al. 2D articulated human pose estimation and retrieval in (almost) unconstrained still images. IJCV, vol. 99, 2012. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. J. Huang et al. Image indexing using color correlogram. In CVPR, 1997. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. N. Dalal and B. Triggs. Histograms of oriented gradients for human detection. In CVPR, 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. T. S. Lee. Image representation using 2D gabor wavelets. IEEE TPAMI, 1996. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. C.-C. Chang and C.-J. lin LIBSVM: A library for support vector machines. ACM TIST, vol. 2, 2011. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. S. Singh et al. Unsupervised discovery of mid-level discriminative patches. In ECCV, 2012. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. C. Doersch et al. What makes Paris look like Paris. ACM TOG (SIGGRAPH), vol. 31, 2012. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. What are the Fashion Trends in New York?

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Conferences
      MM '14: Proceedings of the 22nd ACM international conference on Multimedia
      November 2014
      1310 pages
      ISBN:9781450330633
      DOI:10.1145/2647868

      Copyright © 2014 ACM

      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 3 November 2014

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • short-paper

      Acceptance Rates

      MM '14 Paper Acceptance Rate55of286submissions,19%Overall Acceptance Rate995of4,171submissions,24%

      Upcoming Conference

      MM '24
      MM '24: The 32nd ACM International Conference on Multimedia
      October 28 - November 1, 2024
      Melbourne , VIC , Australia

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader