Paper Info
Title
Extraction of Viewable Point from the Photograh Data with Location
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.
Year
DOI
Venue
2010
10.1109/3PGCIC.2010.85
P2P, Parallel, Grid, Cloud and Internet Computing
Keywords
Field
DocType
shortest route,route recommendation,distant view spot,photograph data,route navigation,viewable point,places people,extracts viewable point,photograh data,spots people,distributed databases,landscape,navigation,image processing,data mining,feature extraction,dispersion,photography,clustering algorithms,humanities
Computer vision,World Wide Web,Voltage control,Image processing,Feature extraction,Amusement,Photography,Artificial intelligence,Distributed database,Cluster analysis,Geography,Traffic congestion
Conference
ISBN
Citations 
PageRank 
978-0-7695-4237-9
0
0.34
References 
Authors
2
3
Name
Order
Citations
PageRank
Kenta Oku18414.81
Kazuki Miwa200.34
Fumio Hattori316426.81