Discerning Generic Event Boundaries in Long-Form Wild Videos
Ayush K. Rai, Tarun Krishna, Julia Dietlmeier, Kevin M. McGuinness, Alan F. Smeaton, Noel Edward O'Connor · arXiv (Cornell University) · 2021
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.