API Build-data JSON Resources
Theme

Choose how MSRBot.io looks on this device.

Auto (match system) Light mode Dark mode

Preference is stored in this browser only.

SMPTE Motion Imaging Journal ( Volume: 130, Issue: 9, October 2021)
[ACTIVE]

Cloud Production Pipeline Using IMF, C4ID, and Open TimeLine IO

Metadata

Publisher
SMPTE — White Plains, NY, USA
Doc Type
Journal Article
Content Type
Original Research
Abbreviated Title
SMPTE Mot. Imag. J
Volume
130, No. 9, pp. 33–40
Abstract
Cloud-centric use of Interoperable Master Format (IMF), Open TimeLine input/output (IO) (OTLIO), and C4ID combines to transform production, post, mastering, and localization of content in today’s multiplatform and international distribution environment. By leveraging IMF, OTLIO, and other open source and standardized tools such as C4ID Cloud Identifier, a centralized cloud-based continuous master can be created. This continuous master can be constantly synchronized with work-in-progress in editing, visual effects, color grading, and sound mixing systems to provide a single centrally available point of collaboration for all parties in production, post, localization, and distribution. This method avoids the requirement for proprietary asset management or file types and allows creatives and engineers to use the tools they prefer and avoids repeatedly moving assets in and out of the cloud. Furthermore, it allows a paradigm shift in the localization and distribution master process, which can in turn allow delivery of a project almost instantly to any number of platforms, territories, and versions once it is complete. This workflow also permits sharing of conformed work-in-progress versions at any moment during the production/post/versioning life cycle without interrupting progress in any of these processes. This method also has side benefits such as total deduplication of assets, no vendor or tool lock-in for access to assets and the ability to link business systems to the content creation process, thus allowing order-to-delivery automation. Overall, this method offers benefits in terms of time, cost, operational effectiveness, and, most importantly, creativity. This benefits all types of delivery from movies to episodic, advertising, trailers, or any produced content targeting multiplatform, domestic, and international audiences. It also allows for the latest content trends such as branching storylines and audience interactive content to be stored and accessed in a nonproprietary way. The methodology described in this paper provides a step change in managing today’s content pipelines and future proofing for next-generation workflows.
Publication Date
2021-10-01
DOI
10.5594/JMI.2021.3104381
ISSN
Print: 1545-0279 | Electronic: 2160-2492
Link
https://doi.org/10.5594/JMI.2021.3104381
Author(s)
Richard Welsh
bio
Richard Welsh is the senior vice president of Innovation at Deluxe, Los Angeles, CA, where he works across mastering, distribution, and localization services for studios, OTT platforms, and content creators worldwide. He has over two decades of experience in movie and television post-production, mastering, and delivery. Prior to his role at Deluxe, he was the CEO and founder at Sundog Media Toolkit, which pioneered cloud-based automated mastering for movies and TV for Hollywood studios. Sundog was acquired by Deluxe in 2020. Welsh has also held positions as head of operations at Technicolor as well as director of Digital Cinema at Dolby. He currently serves on the board of SMPTE and chairs the Media in the Cloud initiative. He has also previously held the role of SMPTE Vice President Education. He holds a BSc (Hons.) Media Technology and Doctor of Technology (HC) from Southampton Solent University, Southampton, U.K.
Keyword(s)
Cloud Media, Cloud Production, IMF, Open TimeLine input/output (IO) (OTLIO), Pipeline, Workflow
Copyright
© 2021 SMPTE

Bibliographic Reference(s)

Source Data (JSON)

Full registry record with provenance metadata. Open directly: /api/doc/10.5594-JMI.2021.3104381.json

Reference Tree

Explore all references and references to this document, as a navigable tree.

Open Reference Tree
Reference this Doc

Plain text (ISO 690 compliant)

Preview:
Richard Welsh; Cloud Production Pipeline Using IMF, C4ID, and Open TimeLine IO, SMPTE Motion Imaging Journal ( Volume: 130, Issue: 9, October 2021); SMPTE, 2021. Available at https://doi.org/10.5594/JMI.2021.3104381
Snippet:
Richard Welsh; Cloud Production Pipeline Using IMF, C4ID, and Open TimeLine IO, SMPTE Motion Imaging Journal ( Volume: 130, Issue: 9, October 2021); SMPTE, 2021. Available at https://doi.org/10.5594/JMI.2021.3104381

HTML (ISO 690 compliant)

Preview:
Richard Welsh; Cloud Production Pipeline Using IMF, C4ID, and Open TimeLine IO, SMPTE Motion Imaging Journal ( Volume: 130, Issue: 9, October 2021); SMPTE, 2021. Available at https://doi.org/10.5594/JMI.2021.3104381
Snippet:
<span class="citation">Richard Welsh; <cite>Cloud Production Pipeline Using IMF, C4ID, and Open TimeLine IO</cite>, SMPTE Motion Imaging Journal ( Volume: 130, Issue: 9, October 2021); SMPTE, 2021. Available at <a href="https://doi.org/10.5594/JMI.2021.3104381" target="_blank" rel="noopener">https://doi.org/10.5594/JMI.2021.3104381</a></span>

SMPTE Icon SMPTE's HTML Pub

Preview:
Richard Welsh; Cloud Production Pipeline Using IMF, C4ID, and Open TimeLine IO, SMPTE Motion Imaging Journal ( Volume: 130, Issue: 9, October 2021); SMPTE, 2021
doi: 10.5594/JMI.2021.3104381
url: https://doi.org/10.5594/JMI.2021.3104381
Snippet:
<li>
Richard Welsh; <cite id="bib-10-5594-jmi-2021-3104381">Cloud Production Pipeline Using IMF, C4ID, and Open TimeLine IO</cite>, SMPTE Motion Imaging Journal ( Volume: 130, Issue: 9, October 2021); SMPTE, 2021
<span class="doi">10.5594/JMI.2021.3104381</span>
</li>