VU
Video Understanding
Topic
Video understanding is a subfield of computer vision and artificial intelligence focused on analyzing sequential visual data to extract meaningful spatiotemporal information. It encompasses tasks such as action recognition, temporal action localization, video captioning, and video retrieval by modeling interactions over time. Modern approaches leverage deep learning, including 3D convolutional neural networks, transformers, and multimodal language models, to interpret complex dynamic scenes.

