SMPTE Motion Imaging Journal ( Volume: 131, Issue: 7, August 2022)
[ACTIVE]
Optimizing Linear Media Processes for Cloud
Metadata
- Publisher
- SMPTE — White Plains, NY, USA
- Doc Type
- Journal Article
- Content Type
- Original Research
- Abbreviated Title
- SMPTE Mot. Imag. J
- Volume
- 131, No. 7, pp. 17–25
- Abstract
- This article looks at the advancements that have been made and the challenges that still lie ahead for fully utilizing the cloud in linear media operations. It examines the “lift and shift” perspective that still pervades most media technology and how cloud utilization is still being held back by operations wed to legacy workflows. We examine the most recent developments, especially those related to live production in the cloud. This article also examines two use cases that illustrate how fully leveraging cloud capabilities can transform linear media operations. The first looks at how to redesign playout in the cloud for scale while reducing cloud costs to a fraction of the costs of lift and shift. The second use case examines how volumetric cameras and an esports production model could transform live sports production in the cloud.
- Publication Date
- 2022-08-01
- DOI
10.5594/JMI.2022.3184732- ISSN
- Print:
1545-0279| Electronic:2160-2492 - Link
- https://doi.org/10.5594/JMI.2022.3184732
- Author(s)
- Peter Wharton
bio
Peter Wharton is the chief strategy and cloud officer with TAG Video Systems, Tel Aviv, Israel, which makes innovative all-Internet Protocol (IP) monitoring systems. He is the founder of Happy Robotz LLC, Chesapeake Beach, MD, a media technology engineering, development, and consulting company that focuses on creating transformative cloud-based media operations through intelligent, cost-managed, and highly automated end-to-end workflows, and led the cloud migration project for a major U.S. network. He has also held a range of live production, product management, technology innovation, and business development roles with Grass Valley, Montreal, QC, Canada, Fox Television Networks, Washington, D.C., and American Broadcasting Company (ABC), Washington, D.C. He is a SMPTE Fellow and has previously served as SMPTE’s membership vice president, secretary/treasurer, and eastern regional governor and has produced the “Bits by the Bay” SMPTE Technology Conference, Washington, D.C., since 1999. - Keyword(s)
- Business Enablement, Cloud, Cloud-Native, Cloud Optimization, Economics, Live Production, Playout, Volumetric Point Cloud
- Copyright
- © 2022 SMPTE
Bibliographic Reference(s)
- Canon Global Technology. Accessed: July 1, 2022. [Online]. Available: https://global.canon/en/technology/frontier18.htmlThis article first appeared in the Proceedings of the NAB 2021 Broadcast Engineering and Information Technology (BEIT) Conference. Reprinted here with permission of the author(s) and the National Association of Broadcasters, Washington, DC Copyright © 2022 by SMPTE. EXTERNAL
- NBC’s “Curling at Home” Remote Production. Accessed: July 1, 2022. [Online]. Available:https://www.nexttv.com/news/nbc-climbs-high-def-mountain-71148; https://w w w.spor tsbusinessjournal.com/Daily/Issues/2006/02/08/Sports-Media/ Rival-Networks-Not-Backing-Down-From-Olympics-On-NBC. aspx EXTERNAL
- Intel’s True View. Accessed: July 1, 2022. [Online]. Available: https://www.intel.com/content/www/us/en/sports/technology/true-view.html EXTERNAL
- “SMPTE Cloud Media Club.” [Online Meeting], Jun. 2021. EXTERNAL
- From AWS Website. Accessed: July 28, 2021. [Online]. Available: https://aws.amazon.com/ec2/pricing/ EXTERNAL
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Peter Wharton; Optimizing Linear Media Processes for Cloud, SMPTE Motion Imaging Journal ( Volume: 131, Issue: 7, August 2022); SMPTE, 2022. Available at https://doi.org/10.5594/JMI.2022.3184732
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Peter Wharton; Optimizing Linear Media Processes for Cloud, SMPTE Motion Imaging Journal ( Volume: 131, Issue: 7, August 2022); SMPTE, 2022. Available at https://doi.org/10.5594/JMI.2022.3184732
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Peter Wharton; Optimizing Linear Media Processes for Cloud, SMPTE Motion Imaging Journal ( Volume: 131, Issue: 7, August 2022); SMPTE, 2022. Available at https://doi.org/10.5594/JMI.2022.3184732
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<span class="citation">Peter Wharton; <cite>Optimizing Linear Media Processes for Cloud</cite>, SMPTE Motion Imaging Journal ( Volume: 131, Issue: 7, August 2022); SMPTE, 2022. Available at <a href="https://doi.org/10.5594/JMI.2022.3184732" target="_blank" rel="noopener">https://doi.org/10.5594/JMI.2022.3184732</a></span>
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Peter Wharton; Optimizing Linear Media Processes for Cloud, SMPTE Motion Imaging Journal ( Volume: 131, Issue: 7, August 2022); SMPTE, 2022
doi: 10.5594/JMI.2022.3184732
url: https://doi.org/10.5594/JMI.2022.3184732
doi: 10.5594/JMI.2022.3184732
url: https://doi.org/10.5594/JMI.2022.3184732
Snippet:
<li> Peter Wharton; <cite id="bib-10-5594-jmi-2022-3184732">Optimizing Linear Media Processes for Cloud</cite>, SMPTE Motion Imaging Journal ( Volume: 131, Issue: 7, August 2022); SMPTE, 2022 <span class="doi">10.5594/JMI.2022.3184732</span> </li>