GitHub - ubriela/BDR: Effectively Crowdsourcing the Acquisition and Analysis of Visual Data for Disaster Response

ubriela / BDR Public

Notifications You must be signed in to change notification settings
Fork 0
Star 1

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

Notifications

Name		Name	Last commit message	Last commit date
Latest commit History 16 Commits
src		src
.gitignore		.gitignore
README.txt		README.txt

Repository files navigation

*** 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