/BDR

Effectively Crowdsourcing the Acquisition and Analysis of Visual Data for Disaster Response

Primary LanguagePython

*** This repository is the implementation of the following papers: ***

Hien To, Seon Ho Kim, and Cyrus Shahabi, Effectively Crowdsourcing the Acquisition and Analysis of Visual Data for Disaster Response, In proceeding of 2015 IEEE International Conference on Big Data (IEEE Big Data 2015), Pages 697-706, Santa Clara, CA, USA, October 29-November 1, 2015

Please email ubriela@gmail.com for the datasets.

*** Parameters
Params.py

*** Video Level Optimization
VideoLevelExp.py

*** Frame Level Optimization
FrameLevelExp.py

*** Image Optimization
ImageExp.py