Construction of a Local Attraction Map According to Social Visual Attention

  • Ichiro Ide
  • Jiani Wang
  • Masafumi Noda
  • Tomokazu Takahashi
  • Daisuke Deguchi
  • Hiroshi Murase
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 14)

Abstract

Social media on the Internet where millions of people share their personal experiences, can be considered as an information source that implies people’s implicit and/or explicit visual attentions. Especially, when the attentions of many people around a specific geographic location focus on a common content, we may assume that there is a certain target that attracts people’s attentions in the area. In this paper, we propose a framework that detects people’s common attention in a local area (local attraction) from a large number of geo-tagged photos, and its visualization on the “Local Attraction Map”. Based on the framework, as a first step of the research, we report the results from a user study performed on a Local Attraction Map browsing interface that showed the representative scene categories as local attractions for geographic clusters of the geo-tagged photos.

Keywords

Social Medium User Study Local Attraction Scene Category Travel Planning 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Ichiro Ide
    • 1
  • Jiani Wang
    • 1
  • Masafumi Noda
    • 1
  • Tomokazu Takahashi
    • 2
  • Daisuke Deguchi
    • 3
  • Hiroshi Murase
    • 1
  1. 1.Graduate School of Information ScienceNagoya UniversityNagoyaJapan
  2. 2.Department of Economics and InformationGifu Shotoku Gakuen UniversityGifuJapan
  3. 3.Information and Communications HeadquartersNagoya UniversityNagoyaJapan

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