Delivering Active Fashion Advertisement to Potential Viewers

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10507)

Abstract

Nowadays, more and more fashion stores have started to introduce digital signage displays for dynamically switching advertisement contents of their products. To attract people’s attention and interest towards a display, some signage systems distribute suitable contents for each individual based on personal attributes, acquired through a camera. However, if there are people who are not interested in the digital signage around the display, suitable contents are not necessarily distributed to those who really intend to view it. Therefore, in this paper we propose a digital signage that can take into account people who have higher potential of viewing the display. First, we acquire human behavior and personal attributes of each person. Then, the potential degree of viewing the display is calculated for each person. Next, our system searches content candidates for each person based on their personal attributes. Finally, the distributed contents are determined by selecting more candidates for people with a higher viewing potential.

Keywords

Digital signage Fashion advertisement Viewing potential 

References

  1. 1.
    Digital Signage M2M and IoT Applications - 2nd Edition. Research and Markets (2017)Google Scholar
  2. 2.
    ImpactTV: Pista (in Japanese). http://impacttv.co.jp/product/. Accessed 10 May 2017
  3. 3.
    Mevato: Social marketing display for any screen. http://www.mevato.com/display. Accessed 10 May 2017
  4. 4.
    Munaro, M., Basso, F., Menegatti, E.: Tracking people within groups with RGB-D data. In: IEEE/RSJ International Conference on Intelligent Robots and Systems (2012)Google Scholar
  5. 5.
    Anewtech Systems: Intelli-signage: age and gender recognition system. http://intelli-signage.com/technologies/age-and-gender-recognition-system-agrs/. Accessed 10 May 2017
  6. 6.
    Tsurumaki, A.: How to coordinate fashion colors (in Japanese). https://tokila.jp/how-to-coordinate-colors/. Accessed 10 May 2017
  7. 7.
    Viola, P., Jones, M.: Rapid object detection using a boosted cascade of simple features. In: IEEE Conference on Computer Vision and Pattern Recognition, vol. 1, pp. I-511–I-518 (2001)Google Scholar
  8. 8.
    Ads of the world: Mcdonald’s McMuffin sunrise. http://adsoftheworld.com/media/outdoor/mcdonalds_mcmuffin_sunrise. Accessed 10 May 2017

Copyright information

© IFIP International Federation for Information Processing 2017

Authors and Affiliations

  1. 1.Rakuten Institute of TechnologyRakuten, Inc.Setagaya-kuJapan

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