Utilising Massive Compute Resource in Public Cloud for Complex Image Processing Applications

This paper explores the deployment of complex image processing applications in public cloud in order to make massive processing jobs practical for post production budgets and timescales. Using an illustrative example of an iterative motion-compensated super-resolution pixel re-construction technique deployed in a cloud platform, which can process what was an 8 week job on local hardware in a few hours using public cloud. However the method is not without its pitfalls and even large public cloud data centres have practical limits which cannot be ignored. Real world examples ranging from 35mm restoration for digital 3D re-release to the latest Hollywood 120fps, 4K, 3D HDR content are discussed. Huge scale resource can be leveraged for otherwise impractical techniques, opening the door to a new breed of high end media processing tools and making them accessible to post-production facilities.

Published

2015-10

Content type

Original Research

DOI

10.5594/M001661

ISBN

978-1-61482-956-0