Utilizing Massive Compute Resources in the Public Cloud for Complex Image Processing
Metadata
- Publisher
- SMPTE — White Plains, NY, USA
- Doc Type
- Journal Article
- Content Type
- Original Research
- Abbreviated Title
- SMPTE Mot. Imag. J
- Volume
- 125, No. 8, pp. 38–48
- Abstract
- This paper explores the deployment of complex image processing applications in a public cloud to make massive processing jobs practical for post-production budgets and timescales. It uses an illustrative example of an iterative motion-compensated super-resolution pixel reconstruction technique deployed in a cloud platform that can process what was an 8-week job on local hardware in a few hours using a public cloud. However, the technique is not without its pitfalls. Even large public cloud data centers have practical limits that cannot be ignored. Real-world examples range from 35-mm restoration for digital 3D re-release to the latest Hollywood 120 frames/sec, 4K, 3D high-dynamic-range content. Large-scale resources 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.
- Publication Date
- 2016-10-01
- DOI
10.5594/JMI.2016.2602122- ISSN
- Print:
1545-0279| Electronic:2160-2492 - Link
- https://doi.org/10.5594/JMI.2016.2602122
- Author(s)
- Richard Welsh
- Keyword(s)
- Cloud, Massive Scale Computation, Scaling, Virtualization, Image Processing, Software Platform, Post Production, Sundog Media Toolkit, SaaS, PaaS, IaaS, Object Storage, Encryption, Security, Processing, On Demand, Data Centers, On-prem, Public Cloud, Private Cloud, Hybrid Cloud, Infrastructure, Restoration
- Copyright
- © 2016 SMPTE
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Richard Welsh; Utilizing Massive Compute Resources in the Public Cloud for Complex Image Processing, SMPTE Motion Imaging Journal ( Volume: 125, Issue: 8, October 2016); SMPTE, 2016. Available at https://doi.org/10.5594/JMI.2016.2602122
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Richard Welsh; Utilizing Massive Compute Resources in the Public Cloud for Complex Image Processing, SMPTE Motion Imaging Journal ( Volume: 125, Issue: 8, October 2016); SMPTE, 2016. Available at https://doi.org/10.5594/JMI.2016.2602122
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Richard Welsh; Utilizing Massive Compute Resources in the Public Cloud for Complex Image Processing, SMPTE Motion Imaging Journal ( Volume: 125, Issue: 8, October 2016); SMPTE, 2016. Available at https://doi.org/10.5594/JMI.2016.2602122
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<span class="citation">Richard Welsh; <cite>Utilizing Massive Compute Resources in the Public Cloud for Complex Image Processing</cite>, SMPTE Motion Imaging Journal ( Volume: 125, Issue: 8, October 2016); SMPTE, 2016. Available at <a href="https://doi.org/10.5594/JMI.2016.2602122" target="_blank" rel="noopener">https://doi.org/10.5594/JMI.2016.2602122</a></span>
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Richard Welsh; Utilizing Massive Compute Resources in the Public Cloud for Complex Image Processing, SMPTE Motion Imaging Journal ( Volume: 125, Issue: 8, October 2016); SMPTE, 2016
doi: 10.5594/JMI.2016.2602122
url: https://doi.org/10.5594/JMI.2016.2602122
doi: 10.5594/JMI.2016.2602122
url: https://doi.org/10.5594/JMI.2016.2602122
Snippet:
<li> Richard Welsh; <cite id="bib-10-5594-jmi-2016-2602122">Utilizing Massive Compute Resources in the Public Cloud for Complex Image Processing</cite>, SMPTE Motion Imaging Journal ( Volume: 125, Issue: 8, October 2016); SMPTE, 2016 <span class="doi">10.5594/JMI.2016.2602122</span> </li>