Online Generic Event Boundary Detection Article Swipe
YOU?
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· 2025
· Open Access
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· DOI: https://doi.org/10.48550/arxiv.2510.06855
Generic Event Boundary Detection (GEBD) aims to interpret long-form videos through the lens of human perception. However, current GEBD methods require processing complete video frames to make predictions, unlike humans processing data online and in real-time. To bridge this gap, we introduce a new task, Online Generic Event Boundary Detection (On-GEBD), aiming to detect boundaries of generic events immediately in streaming videos. This task faces unique challenges of identifying subtle, taxonomy-free event changes in real-time, without the access to future frames. To tackle these challenges, we propose a novel On-GEBD framework, Estimator, inspired by Event Segmentation Theory (EST) which explains how humans segment ongoing activity into events by leveraging the discrepancies between predicted and actual information. Our framework consists of two key components: the Consistent Event Anticipator (CEA), and the Online Boundary Discriminator (OBD). Specifically, the CEA generates a prediction of the future frame reflecting current event dynamics based solely on prior frames. Then, the OBD measures the prediction error and adaptively adjusts the threshold using statistical tests on past errors to capture diverse, subtle event transitions. Experimental results demonstrate that Estimator outperforms all baselines adapted from recent online video understanding models and achieves performance comparable to prior offline-GEBD methods on the Kinetics-GEBD and TAPOS datasets.
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2510.06855
- https://arxiv.org/pdf/2510.06855
- OA Status
- green
- OpenAlex ID
- https://openalex.org/W4415317458
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4415317458Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.2510.06855Digital Object Identifier
- Title
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Online Generic Event Boundary DetectionWork title
- Type
-
preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
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2025-10-08Full publication date if available
- Authors
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H. Jung, Doyeon Kim, Sang Seok Lim, Jeany Son, Jonghyun ChoiList of authors in order
- Landing page
-
https://arxiv.org/abs/2510.06855Publisher landing page
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https://arxiv.org/pdf/2510.06855Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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greenOpen access status per OpenAlex
- OA URL
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https://arxiv.org/pdf/2510.06855Direct OA link when available
- Cited by
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0Total citation count in OpenAlex
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