• DocumentCode
    3503969
  • Title

    Extraction of Viewable Point from the Photograh Data with Location

  • Author

    Oku, Kenta ; Miwa, Kazuki ; Hattori, Fumio

  • Author_Institution
    Coll. of Inf. Sci. & Eng., Ritsumeikan Univ., Kusatsu, Japan
  • fYear
    2010
  • fDate
    4-6 Nov. 2010
  • Firstpage
    501
  • Lastpage
    504
  • Abstract
    There are many researches of a route navigation that regards efficiency such as avoiding traffic congestion or finding the shortest routes. On the other hand, in navigation for a sightseeing tour, it is important to consider not only the efficiency but also amusement. In this study, we investigate route recommendation that considers landscapes in order to realize a navigation that regards the amusement as important. Particularly, we propose a method that extracts distant view spots, which are spots people can enjoy in the distant, and then extracts viewable points, which are places people can see the distant view spots. We focus on distribution of photograph data with location from photo-sharing sites such as Panoramio. Our method extracts the distant view spots and the viewable points based on their distribution. In this paper, we show experimental results using real data and discuss relevance of our method.
  • Keywords
    feature extraction; humanities; image processing; photography; social networking (online); traffic engineering computing; Panoramio; distant view spots extraction; photo sharing sites; photograph data distribution; route recommendation; sightseeing tour; viewable point extraction; viewable points extraction; Landscape; Navigation; Route recommendation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC), 2010 International Conference on
  • Conference_Location
    Fukuoka
  • Print_ISBN
    978-1-4244-8538-3
  • Electronic_ISBN
    978-0-7695-4237-9
  • Type

    conf

  • DOI
    10.1109/3PGCIC.2010.85
  • Filename
    5662588