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 :
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