Computer Science Department
School of Computer Science, Carnegie Mellon University
Scalable Crowd-Sourcing of Video from Mobile Devices
Pieter Simoens*, Yu Xiao**, Padmanabhan Pillai***, Zhuo Chen,
We propose a scalable Internet system for continuous collection of crowd-sourced video from devices such as Google Glass. Our hybrid cloud architecture for this system is effectively a CDN in reverse. It achieves scalability by decentralizing the cloud computing infrastructure using VM-based cloudlets. 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 Virtual Machine (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 and provide valuable insight on how parameters such as frame rate and resolution impact the system scalability.
*Carnegie Mellon University and Ghent University