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MediaQ
• MediaQ is a media management framework to
collect, organize, share and search user-generated
mobile images and videos by the public.
• MediaQ leverages video metadata:
A Crowdsourcing Tool for Analyzing User-
Generated Videos
Hien To, Seon Ho Kim, and Cyrus Shahabi
Integrated Media Systems Center
University of Southern California, Los Angeles, CA
BigData in Social Media
IMSC Retreat 2016
Introduction
 The first 24 hours after disaster are critical
 Timely collecting and accurately analyzing data
from multiple sources are important
 Providing an overview of the situation for the
decision makers is critical
GeoQ
• GeoQ provides a crowdsourcing platform for
disaster response developed by US NGA
Enable analysts to collaboratively work with each
other and first responders in a mapping environment
GeoQ analysts and responders create project
focusing on affected area
GeoQ analysts search their assigned work cells
The analysts analyzes the data, e.g., satellite
imagery, social media, news to assess the damage
References
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
Future Work
 Generating crowdsourcing tasks automatically in regions
which have disasters
Integration with USGS ShakeMap’s APIs
 Enable analysts to view coverage area of a video, hot spots
and to rank videos based on their significance
𝑁
𝑑
p
R𝜃
Field Of View (FOV)
p: camera location
d: camera direction
𝜃: viewable angle
R: viewable distance
t: timestamp
GeoQ-MediaQ Integration
• MediaQ provides visual data to GeoQ
Chickasha Tornado Nepal Earthquake

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A Crowdsourcing Tool for Analyzing User-Generated Videos

  • 1. MediaQ • MediaQ is a media management framework to collect, organize, share and search user-generated mobile images and videos by the public. • MediaQ leverages video metadata: A Crowdsourcing Tool for Analyzing User- Generated Videos Hien To, Seon Ho Kim, and Cyrus Shahabi Integrated Media Systems Center University of Southern California, Los Angeles, CA BigData in Social Media IMSC Retreat 2016 Introduction  The first 24 hours after disaster are critical  Timely collecting and accurately analyzing data from multiple sources are important  Providing an overview of the situation for the decision makers is critical GeoQ • GeoQ provides a crowdsourcing platform for disaster response developed by US NGA Enable analysts to collaboratively work with each other and first responders in a mapping environment GeoQ analysts and responders create project focusing on affected area GeoQ analysts search their assigned work cells The analysts analyzes the data, e.g., satellite imagery, social media, news to assess the damage References 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 Future Work  Generating crowdsourcing tasks automatically in regions which have disasters Integration with USGS ShakeMap’s APIs  Enable analysts to view coverage area of a video, hot spots and to rank videos based on their significance 𝑁 𝑑 p R𝜃 Field Of View (FOV) p: camera location d: camera direction 𝜃: viewable angle R: viewable distance t: timestamp GeoQ-MediaQ Integration • MediaQ provides visual data to GeoQ Chickasha Tornado Nepal Earthquake