Automatic GEO-MASHUP generation of outdoor activities

In this paper, we describe a novel approach for the automatic generation of a GEO-MASHUP related to a user his outdoor activities. Each mashup consists of online geotagged media resources related to the geographic keypoints where the outdoor activity was performed. In order to detect candidate keypoints, we search low-activity locations based on the travelling distance over time. Subsequently, we filter out route-specific keypoints (such as traffic lights) using online trajectory information. Finally, the remaining keypoints are fed to a set of social media web services to retrieve the geotagged media which summarizes the user's activity. The GEO-MASHUP demonstrator, which is evaluated in real-world conditions, shows the feasibility of our novel approach.