Compass clustering

The accuracy and completeness of information in geographical databases are very important for many location-based applications and services. However, the incompleteness in geographical databases is currently an issue. One consequence of this is that the geographic bounding boxes of many points of interests (POIs) have not been known. This paper studies the problem of estimating geographic bounding boxes for POIs using geo-tagged photos contributed by public users on social media. We present a novel approach using relevant geo-tagged photos of POIs to estimate geographic bounding boxes for the POIs. In the proposed method, we extend to apply survival analysis with random distance variable for our estimation. We demonstrate the superiority and effectiveness of our proposed approach over competing methods.INDEX TERMS Geographic bounding box, POI, survival analysis, geo-tagged photos, Flickr.

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Compass clustering

Cited by 11 publications

References 13 publications

How to Find Accessible Free Wi-Fi at Tourist Spots in Japan

How to Find Accessible Free Wi-Fi at Tourist Spots in Japan

Point of interest mining with proper semantic annotation

Estimating Bounding Box for Point of Interest Using Social Media Geo-Tagged Photos

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