News Content Distribution Using the Time-Addressable Media Store API

Metadata

Publisher: SMPTE
Doc Type: Journal Article
Content Type: Original Research
Abbreviated Title: SMPTE Motion Imaging Jour.
Volume: 135, No. 3, pp. 35–41
Abstract: This paper presents a transformative approach to news media distribution through the implementation of the Time Addressable Media Store (TAMS) Application Programming Interface (API), developed as an open source specification by British Broadcasting Corp. Research & Development (BBC R&D). The traditional news distribution model, heavily reliant on satellite and fiber connections, faces significant challenges in scalability, storage efficiency, and operational costs. These limitations become particularly apparent during major news events, where organizations struggle with inflexible infrastructure and redundant content recording. Through a collaboration between Amazon Web Services (AWS), Reuters, and major broadcasters, this paper demonstrates how TAMS revolutionizes news content management by leveraging cloudnative technologies. The system's innovative approach to storing media in small, addressable segments enables immediate access to content, eliminates redundant storage, and facilitates real-time content sharing between organizations. The paper examines both the technical architecture and practical applications, including a successful demonstration at IBC 2025 that showcased cross-organization content sharing with latency under four seconds for live replication across multiple geographic regions. This highlights how the TAMS cloudnative, open source approach creates a more efficient, scalable, and environmentally conscious solution for modern news distribution workflows.
Publication Date: 2026-05-01
DOI: 10.5594/JMI.2026/KRQD4667
ISSN: Print: 1545-0279 | Electronic: 2160-2492
Link: https://doi.org/10.5594/JMI.2026/KRQD4667
Author(s): John Biltcliffe
Chris Swan
Thomas Edwards
Keyword(s): Time Addressable Media Store, News, Content Distribution, News Gathering, Camera to Cloud
Copyright: © 2026 SMPTE

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John Biltcliffe, Chris Swan, and Thomas Edwards; News Content Distribution Using the Time-Addressable Media Store API, MIJ 2026, Volume 135, Number 3 (pp. 35 to 41); SMPTE, 2026. Available at https://doi.org/10.5594/JMI.2026/KRQD4667

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John Biltcliffe, Chris Swan, and Thomas Edwards; News Content Distribution Using the Time-Addressable Media Store API, MIJ 2026, Volume 135, Number 3 (pp. 35 to 41); SMPTE, 2026. Available at https://doi.org/10.5594/JMI.2026/KRQD4667

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<span class="citation">John Biltcliffe, Chris Swan, and Thomas Edwards; <cite>News Content Distribution Using the Time-Addressable Media Store API</cite>, MIJ 2026, Volume 135, Number 3 (pp. 35 to 41); SMPTE, 2026. Available at <a href="https://doi.org/10.5594/JMI.2026/KRQD4667" target="_blank" rel="noopener">https://doi.org/10.5594/JMI.2026/KRQD4667</a></span>

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John Biltcliffe, Chris Swan, and Thomas Edwards; News Content Distribution Using the Time-Addressable Media Store API, MIJ 2026, Volume 135, Number 3 (pp. 35 to 41); SMPTE, 2026
doi: 10.5594/JMI.2026/KRQD4667
url: https://doi.org/10.5594/JMI.2026/KRQD4667

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<li>
John Biltcliffe, Chris Swan, and Thomas Edwards; <cite id="bib-10-5594-jmi-2026-krqd4667">News Content Distribution Using the Time-Addressable Media Store API</cite>, MIJ 2026, Volume 135, Number 3 (pp. 35 to 41); SMPTE, 2026
<span class="doi">10.5594/JMI.2026/KRQD4667</span>
</li>