a crowdsourcing tool for analyzing user-generated videos

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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 p R Field Of View (FOV) p: camera location d: camera direction : viewable angle R: viewable distance t: timestamp GeoQ-MediaQ Integration MediaQ provides visual data to GeoQ Chickasha Tornado Nepal Earthquake

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Page 1: A Crowdsourcing Tool for Analyzing User-Generated Videos

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 ShahabiIntegrated 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 NGAEnable analysts to collaboratively work with each

other and first responders in a mapping environmentGeoQ analysts and responders create project

focusing on affected areaGeoQ analysts search their assigned work cells

The analysts analyzes the data, e.g., satellite imagery, social media, news to assess the damage

ReferencesHien 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 WorkGenerating crowdsourcing tasks automatically in regions

which have disastersIntegration with USGS ShakeMap’s APIs

Enable analysts to view coverage area of a video, hot spots and to rank videos based on their significance

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pR𝜃

Field Of View (FOV)p: camera locationd: camera direction: viewable angleR: viewable distancet: timestamp

GeoQ-MediaQ Integration• MediaQ provides visual data to GeoQ

Chickasha Tornado Nepal Earthquake