Zero-Shot Multimodal Event Spotting in Soccer Broadcasts

The paper introduces a zero‑shot multimodal framework for spotting soccer events in full‑length broadcasts without task‑specific training. It segments matches into overlapping clips, represents them with a compact visual storyboard and aligned commentary, and processes these jointly with a general‑purpose multimodal model. On three annotated matches, the best setup achieves 72.0% F1@5s, surpassing SoccerNet‑trained baselines, and the storyboard reduces inference cost by 72%. "whyItMatters":"The approach enables efficient, high‑accuracy event detection and highlight generation in soccer broadcasts without relying on large annotated datasets or soccer‑specific training, as demonstrated by its superior performance and reduced inference cost."

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• multimodal