The SVG AI Innovation Lab is advocating for the adoption of the Story Object Model (SOM), an open-source schema originally developed by news organizations to decouple media assets from story containers. The initiative aims to adapt this model for sports broadcasting to improve asset management, routing, and metadata handling across complex distribution pipelines.
Adopting this newsroom-born schema allows sports broadcasters to manage the 'one-to-many' relationship of live footage, where a single play must simultaneously feed social clips, betting data, and highlight reels. By decoupling assets from specific story containers, engineers can automate metadata routing and clearance status across global territories without manual duplication. This technical shift connects to the broader streaming ecosystem's push for AI-driven personalization, as standardized schemas enable automated agents to assemble packages based on real-time win probability or player milestones. Watch for the SVG AI Innovation Lab to convene a formal consortium of sports broadcasters to finalize a domain-specific vocabulary for the model.
The IBC Accelerator program has become a primary incubator for cross-broadcaster metadata and workflow standards, with the Story Object Model emerging from its 2024 newsroom-focused cohort. The BBC and ITN jointly led the original SOM development as part of the IBC Accelerator's 2024 media supply chain project, which aimed to create a vendor-neutral schema for decoupling editorial assets from rigid story containers. The EBU has since signaled interest in extending the model beyond news into live event production, aligning with its broader push toward open metadata frameworks that reduce integration costs for member broadcasters across Europe.
On the business and standards side, the Story Object Model sits within a wider effort to formalize media asset schemas that AI systems can consume without custom integration. The EBU published updated metadata recommendations in early 2026 emphasizing machine-readable asset descriptions for automated production workflows, directly relevant to sports broadcasters seeking to automate clip routing and rights clearance. Meanwhile, SMPTE's 2025 standards roadmap included work items on interoperable media object models designed to support AI-assisted editorial decision-making, signaling that formal standardization bodies are converging on the same architectural problem the SVG AI Innovation Lab is addressing from a sports-production angle.
From a technical standpoint, competing approaches to asset decoupling and metadata automation are active in the same production stack. France Télévisions cloud production demonstrated AI-driven metadata enrichment pipelines at IBC 2025 that rely on structured object models to tag and route live sports footage, though neither has publicly adopted the SOM schema. The BBC's own R&D team published a technical paper in mid-2025 detailing how SOM handles versioning and provenance tracking across distributed editorial systems, providing a reference implementation that sports broadcasters can evaluate. For production teams assessing the model, the key technical question is whether SOM's newsroom-origin vocabulary maps cleanly onto sports-specific entities like match events, player statistics, and multi-angle camera feeds without requiring a parallel schema layer.
The SVG AI Innovation Lab is adapting the Story Object Model (SOM) for sports broadcasting to decouple media assets from rigid containers. By replacing newsroom workflows with sports-specific data like game clocks and stats, broadcasters can automate metadata routing and rights clearance, enabling more efficient, AI-driven personalization across global distribution pipelines.
The Story Object Model is an open-source schema that decouples media assets from story containers, allowing for more flexible asset management and automated metadata routing across distribution pipelines.
The founding champions of the Story Object Model initiative include AP, NBCUniversal, ITN, and the BBC, with additional support from SMPTE and the EBU.
Adapting SOM for sports allows broadcasters to manage the complex 'one-to-many' relationship of live footage, where a single play must simultaneously feed social clips, betting data, and highlight reels without manual duplication.
The Story Object Model Version 1.0 was released as open source under the Apache 2.0 license on September 13.
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