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arXiv · 2106.10090

Discerning Generic Event Boundaries in Long-Form Wild Videos

Ayush K Rai·Tarun Krishna·Julia Dietlmeier·Kevin McGuinness·Alan F Smeaton·Noel E O'Connor
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Abstract

Detecting generic, taxonomy-free event boundaries invideos represents a major stride forward towards holisticvideo understanding. In this paper we present a technique forgeneric event boundary detection based on a two stream in-flated 3D convolutions architecture, which can learn spatio-temporal features from videos. Our work is inspired from theGeneric Event Boundary Detection Challenge (part of CVPR2021 Long Form Video Understanding- LOVEU Workshop).Throughout the paper we provide an in-depth analysis ofthe experiments performed along with an interpretation ofthe results obtained.

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Ayush K Rai, Tarun Krishna, Julia Dietlmeier, Kevin McGuinness, Alan F Smeaton, Noel E O'Connor. 2021-06-18. Discerning Generic Event Boundaries in Long-Form Wild Videos. https://arxiv.org/abs/2106.10090

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