Raw Video

Raw video, the unprocessed data captured by a camera sensor, is increasingly central to computer vision research, focusing on overcoming challenges like noise reduction and efficient processing. Current research emphasizes developing advanced deep learning models, including transformers and diffusion models, to improve tasks such as denoising, video super-resolution, and action recognition directly from raw video data, often incorporating techniques like temporal and spatial attention mechanisms. These advancements are significant for applications ranging from robotic skill learning and autism diagnosis to video quality enhancement and animation, enabling more robust and efficient analysis of visual information.