Surgery in the Cloud: Difference between revisions
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Client: [[Cydar]] | Client: Rob Hague, [[Cydar]] <rob.hague@cydar.co.uk> | ||
New hospital treatments often involve as much computer imaging as they do scalpels. Local company Cydar manages high volumes of images and video data in the cloud using Amazon Web Services, but configuring those data flows is time-consuming and confusing. Your goal is to create a video cloud service management tool inspired by Stuart Taylor's VPlay system for live video remixing (http://vimeo.com/2738692). Users should be able to review and modify the data flow architecture on AWS virtual machines, while also getting a live view of the current streams and archive content to see where the problems might be. | Title: Surgery in the cloud | ||
New hospital treatments often involve as much computer imaging as they do scalpels. Local company Cydar manages high volumes of images and video data in the cloud using Amazon Web Services, and can even track real-time video from an operating theatre, but configuring those data flows is time-consuming and confusing. Your goal is to create a video cloud service management tool inspired by Stuart Taylor's VPlay system for live video remixing (http://vimeo.com/2738692). Users should be able to review and modify the data flow architecture on AWS virtual machines, while also getting a live view of the current streams and archive content to see where the problems might be. | |||
Revision as of 08:54, 29 October 2016
Client: Rob Hague, Cydar <rob.hague@cydar.co.uk>
Title: Surgery in the cloud
New hospital treatments often involve as much computer imaging as they do scalpels. Local company Cydar manages high volumes of images and video data in the cloud using Amazon Web Services, and can even track real-time video from an operating theatre, but configuring those data flows is time-consuming and confusing. Your goal is to create a video cloud service management tool inspired by Stuart Taylor's VPlay system for live video remixing (http://vimeo.com/2738692). Users should be able to review and modify the data flow architecture on AWS virtual machines, while also getting a live view of the current streams and archive content to see where the problems might be.
