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Tech Papers 2026: This paper presents a metadata-centric, local-first architecture in which raw media is processed locally and editorial agents receive only time-aligned metadata, such as transcripts, shot boundaries, face clusters, scene descriptions, and acoustic events.
Abstract
Broadcasters increasingly want AI-assisted editing while keeping unpublished video and audio inside infrastructure they control.
The architecture has three layers: intent and planning, editorial reasoning agents, and Model Context Protocol (MCP)-based media-analysis services. An optional local de-identification gateway removes or...
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