Untrimmed Video

Untrimmed video analysis focuses on processing long, unedited videos to extract meaningful information, overcoming challenges posed by their length and unstructured nature. Current research emphasizes developing efficient and accurate models, often employing transformer architectures and techniques like optimal transport and contrastive learning, to perform tasks such as action segmentation, localization, and event detection. These advancements are crucial for applications ranging from automated screening tools for autism to real-time fall detection and personalized avatar creation, significantly impacting fields like healthcare, assistive technologies, and entertainment. The development of large-scale benchmark datasets further fuels progress in this rapidly evolving area.