Geolocating Images with Crowdsourcing and Diagramming

Rachel Kohler, John Purviance, Kurt Luther
2018 Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence  
Many types of investigative work involve verifying the legitimacy of visual evidence by identifying the precise geographic location where a photo or video was taken. Professional geolocation is often a manual, time-consuming process that can involve searching large areas of satellite imagery for potential matches. In this paper, we explore how crowdsourcing can be used to support expert image geolocation. We adapt an expert diagramming technique to overcome spatial reasoning limitations of
more » ... e crowds so that they can support an expert's search. In an experiment (n=540), we found that diagrams work significantly better than ground-level photos and allow crowds to reduce a search area by half before any expert intervention. We also discuss hybrid approaches to complex image analysis combining crowds, experts, and computer vision.
doi:10.24963/ijcai.2018/741 dblp:conf/ijcai/KohlerPL18 fatcat:niphte3mpbchxdsdabhzprc2dy