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Quantifying the development of user-generated art during 2001-2010.

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اقرأ على الانترنت اقرأ أكثر حفظ في قائمتي
  • المؤلفون: Yazdani M;Yazdani M; Chow J; Chow J; Manovich L; Manovich L
  • المصدر:
    PloS one [PLoS One] 2017 Aug 08; Vol. 12 (8), pp. e0175350. Date of Electronic Publication: 2017 Aug 08 (Print Publication: 2017).
  • نوع النشر :
    Journal Article
  • اللغة:
    English
  • معلومة اضافية
    • المصدر:
      Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
    • بيانات النشر:
      Original Publication: San Francisco, CA : Public Library of Science
    • الموضوع:
      Art*; Humanities/*trends; Datasets as Topic ; Humans ; Image Processing, Computer-Assisted ; Internet ; Metadata ; Principal Component Analysis
    • نبذة مختصرة :
      One of the main questions in the humanities is how cultures and artistic expressions change over time. While a number of researchers have used quantitative computational methods to study historical changes in literature, music, and cinema, our paper offers the first quantitative analysis of historical changes in visual art created by users of a social online network. We propose a number of computational methods for the analysis of temporal development of art images. We then apply these methods to a sample of 270,000 artworks created between 2001 and 2010 by users of the largest social network for art-DeviantArt (www.deviantart.com). We investigate changes in subjects, techniques, sizes, proportions and also selected visual characteristics of images. Because these artworks are classified by their creators into two general categories-Traditional Art and Digital Art-we are also able to investigate if the use of digital tools has had a significant effect on the content and form of artworks. Our analysis reveals a number of gradual and systematic changes over a ten-year period in artworks belonging to both categories.
    • References:
      IEEE Trans Pattern Anal Mach Intell. 2012 Jun;34(6):1159-76. (PMID: 22516651)
      Sci Rep. 2012;2:521. (PMID: 22837813)
      Iperception. 2011;2(6):569-76. (PMID: 23145246)
      Science. 2011 Jan 14;331(6014):176-82. (PMID: 21163965)
      J Mach Learn Res. 2016 Apr;17:null. (PMID: 27375369)
    • الموضوع:
      Date Created: 20170810 Date Completed: 20171006 Latest Revision: 20181113
    • الموضوع:
      20221213
    • الرقم المعرف:
      PMC5549703
    • الرقم المعرف:
      10.1371/journal.pone.0175350
    • الرقم المعرف:
      28792494