A Method to Collect Multi-view Images of High Importance Using Disaster Map and Crowdsourcing
Koyo Kobayashi, Hidehiko Shishido, Yoshinari Kameda, Itaru Kitahara · 2018
In recent years, research efforts have enabled using the internet in disaster areas, and information technology (IT) is expected to improve our comprehension and evaluation of disasters. In disaster areas, crowdsourcing can be employed to secure human resources and controlled-task distribution. In crowdsourcing, many workers with publicly defined tasks (also called microtasks) are used. A simplified and more efficient microtask framework is required for disaster areas due to the lack of human resources and facilities. In this paper, we describe a method that incorporates information collection from a disaster area into microtasks with machine processing support.