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
Link To Document