In this paper, we propose a computational approach to solve the Generic Event Boundary Detection (GEBD) task. Our approach is grounded in the Event Segmentation Theory (EST) by explicitly implementing its categories to detect boundaries. The approach was tested in a manufacturing-like scenario. The results are promising, opening perspectives for intelligent machines to support and collaborate with human operators in several tasks.
An EST-based Generic Event Boundary Detector / Serajoddin Mirghaed, Amir Arsalan; Benini, Nadia; Volpe, Gualtiero; Varni, Giovanna. - (2025), pp. 1-3. ( CHItaly '25 Salerno October 6 - 10, 2025) [10.1145/3750069.3755958].
An EST-based Generic Event Boundary Detector
Varni, Giovanna
2025-01-01
Abstract
In this paper, we propose a computational approach to solve the Generic Event Boundary Detection (GEBD) task. Our approach is grounded in the Event Segmentation Theory (EST) by explicitly implementing its categories to detect boundaries. The approach was tested in a manufacturing-like scenario. The results are promising, opening perspectives for intelligent machines to support and collaborate with human operators in several tasks.| File | Dimensione | Formato | |
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