Extracting and understanding urban areas of interest using geotagged photos
We propose a framework for extracting and understanding urban AOI from geotagged photos. We design an experiment to construct optimal polygons from point clusters. We mine knowledge from the extracted AOI, and investigate their spatiotemporal dynamics. An online system has been developed as a proof-of-concept to show the AOI in different cities.
areas of interest aoi social media flickr dbscan chi-shape tag extraction photo analysis data mining