Video Understanding

Video understanding aims to enable computers to comprehend the content and context of videos, mirroring human capabilities in interpreting visual and auditory information over time. Current research heavily focuses on improving the temporal reasoning abilities of large multimodal models (LLMs) and addressing limitations in handling long videos, often employing architectures that integrate visual encoders with LLMs or leverage novel spatiotemporal modeling techniques. This field is crucial for advancing applications in healthcare (e.g., patient education), autonomous driving, and multimedia analysis, driving the development of more robust and efficient video processing methods.