A Video-Aided Semantic Analytics System for Disaster Information Integration
Haiman Tian, Shu‐Ching Chen · 2017
We present a novel web-based system and a video-aided mobile application that allows emergency management personnel to access to prompt and relevant disaster situation information. The system is able to semantically integrate text-based disaster situation reports with related disaster videos taken in the field. The system is adapted to the video concept detection model and automates the procedure of file deployment and data manipulation. In addition, through an intuitive and seamless Apple iPad application, the users are able to interact with the system in various places and conditions and thus provide a more effective response. The system is demonstrated via its iPad application, which aims to provide relevant and feasible information for a disaster situation of interest.