Scalable crowd-sourcing of video from mobile devices

Authors:
Pieter Simoens;Yu Xiao;Padmanabhan Pillai;Zhuo Chen;Kiryong Ha;Mahadev Satyanarayanan
Affiliations:
Ghent University - iMinds, Gent, Belgium;Aalto University, Espoo, Finland;Intel Labs, Pittsburgh, PA, USA;Carnegie Mellon University, Pittsburgh, PA, USA;Carnegie Mellon University, Pittsburgh, PA, USA;Carnegie Mellon University, Pittsburgh, PA, USA
Venue:
Proceeding of the 11th annual international conference on Mobile systems, applications, and services
Year:
2013

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Abstract

We propose a scalable Internet system for continuous collection of crowd-sourced video from devices such as Google Glass. Our hybrid cloud architecture, GigaSight, is effectively a Content Delivery Network (CDN) in reverse. It achieves scalability by decentralizing the collection infrastructure using cloudlets based on virtual machines~(VMs). Based on time, location, and content, privacy sensitive information is automatically removed from the video. This process, which we refer to as denaturing, is executed in a user-specific VM on the cloudlet. Users can perform content-based searches on the total catalog of denatured videos. Our experiments reveal the bottlenecks for video upload, denaturing, indexing, and content-based search. They also provide insight on how parameters such as frame rate and resolution impact scalability.