PT Unknown
AU Laura Lopez-Fuentes
   Alessandro Farasin
   Harald Skinnemoen
   Paolo Garza
TI Deep Learning models for passability detection of flooded roads
BT MediaEval 2018 Multimedia Benchmark Workshop
PY 2018
VL 2283
AB In this paper we study and compare several approaches to detect floods and evidence for passability of roads by conventional means in Twitter. We focus on tweets containing both visual information (a picture shared by the user) and metadata, a combination of text and related extra information intrinsic to the Twitter API. This work has been done in the context of the MediaEval 2018 Multimedia Satellite Task.
ER