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arXiv · 2309.05943

Knowledge-Guided Short-Context Action Anticipation in Human-Centric Videos

Sarthak Bhagat·Simon Stepputtis·Joseph Campbell·Katia Sycara
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Abstract

This work focuses on anticipating long-term human actions, particularly using short video segments, which can speed up editing workflows through improved suggestions while fostering creativity by suggesting narratives. To this end, we imbue a transformer network with a symbolic knowledge graph for action anticipation in video segments by boosting certain aspects of the transformer's attention mechanism at run-time. Demonstrated on two benchmark datasets, Breakfast and 50Salads, our approach outperforms current state-of-the-art methods for long-term action anticipation using short video context by up to 9%.

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Sarthak Bhagat, Simon Stepputtis, Joseph Campbell, Katia Sycara. 2023-09-12. Knowledge-Guided Short-Context Action Anticipation in Human-Centric Videos. https://arxiv.org/abs/2309.05943

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