Name
Abstract | ||
|---|---|---|
We present a novel data-driven algorithm that leverages online image repositories such as Flickr for automatically generating tourist maps. Our hypothesis is that, given a large enough dataset of images with geo-based metadata, clusters of matching images from that dataset tend to provide reliable cues as to what the popular tourist spots for that location may be. Our algorithm takes the geographical area of interest as input and retrieves geotagged photos from online photo collections. By clustering the photos based on their locations and identifying the popular tags for each cluster, our algorithm generates a set of points of interest (POIs) for the area. After retrieving additional photos based on these discovered POI tags, we use image matching to find the most representative landmark view for each POI. Finally, we remove clutter from the representative image and apply non-photorealistic rendering techniques to generate a map icon for each landmark. We use our system to automatically generate maps showing popular tourist locations for several large cities. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/ACSSC.2009.5469962 | ACM Multimedia 2001 |
Keywords | Field | DocType |
tourist maps,novel data-driven algorithm,image matching,geographical area,geotagged photos,geographic information systems,data driven algorithm,points of interest,large enough dataset,popular tag,online photo collection,poi tag,visual summary,online image repository,online image repositories,large city,community photo collection,popular tourist spot,visual summaries,popular landmark,information services,geo-based metadata,community photo collections,matching images,popular landmarks,tourist map,popular tourist location,representative image,representative landmark view,point of interest | Computer vision,Metadata,Information retrieval,Clutter,Computer science,Image matching,Artificial intelligence,Point of interest,Cluster analysis,Landmark,Area of interest | Conference |
ISSN | ISBN | Citations |
1058-6393 | 978-1-4244-5825-7 | 42 |
PageRank | References | Authors |
1.31 | 12 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wei-Chao Chen | 1 | 729 | 61.47 |
| Agathe Battestini | 2 | 88 | 5.94 |
| Natasha Gelfand | 3 | 1236 | 67.99 |
| Vidya Setlur | 4 | 460 | 42.32 |