Mean Shift: A Robust Approach Toward Feature Space Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Photo tourism: exploring photo collections in 3D
ACM SIGGRAPH 2006 Papers
Automatic generation of tourist maps
ACM SIGGRAPH 2008 papers
Generating diverse and representative image search results for landmarks
Proceedings of the 17th international conference on World Wide Web
World-scale mining of objects and events from community photo collections
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Automatic image semantic interpretation using social action and tagging data
Multimedia Tools and Applications
Research and applications on georeferenced multimedia: a survey
Multimedia Tools and Applications
Geotagging in multimedia and computer vision--a survey
Multimedia Tools and Applications
IM2MAP: deriving maps from georeferenced community contributed photo collections
WSM '11 Proceedings of the 3rd ACM SIGMM international workshop on Social media
Multimedia Tools and Applications
Cluster-based photo browsing and tagging on the go
Proceedings of the 2nd ACM International Conference on Multimedia Retrieval
Discovering areas of interest with geo-tagged images and check-ins
Proceedings of the 20th ACM international conference on Multimedia
City-view image retrieval leveraging check-in data
Proceedings of the 2nd ACM international workshop on Geotagging and its applications in multimedia
Personalized intra- and inter-city travel recommendation using large-scale geotags
Proceedings of the 2nd ACM international workshop on Geotagging and its applications in multimedia
Geo-clouds: visualizing news over geographical maps
Proceedings of the 4th ACM SIGSPATIAL International Workshop on GeoStreaming
Multi-day and multi-stay travel planning using geo-tagged photos
Proceedings of the Second ACM SIGSPATIAL International Workshop on Crowdsourced and Volunteered Geographic Information
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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 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 tooning to generate a map icon for each landmark.