SkatteFunn: AI-basert video produksjon for sport

Offentlig prosjektsammendrag

This project develops an intelligent AI system improving sports media production by automating the content creation pipeline. Current workflows are costly and time-consuming, while audiences demand instant content delivery. Our innovation creates a unified multi-agent orchestration system where creative teams can simply describe an output and have specialized AI agents autonomously handle event detection, editing, commentary generation, and publishing. The research focuses on three areas: developing efficient AI components for sports content analysis, creating intelligent multi-agent coordination through natural language interfaces, and real-world validation comparing automated output to human producers. This fundamentally reshapes sports media economics introducing seamless automation that preserves editorial standards with professional quality while achieving unprecedented efficiency gains in terms of human operation, costs and publication latencies.