Long Video

Long video processing presents significant challenges for computer vision, exceeding the capabilities of models designed for short clips. Current research focuses on developing efficient architectures, such as transformers and diffusion models, and algorithms that address memory limitations and maintain temporal consistency in long video understanding tasks like action recognition, video captioning, and object segmentation. These advancements are crucial for enabling applications requiring analysis of extended video content, such as video summarization, video question answering, and large-scale video surveillance. The development of new benchmarks specifically designed for evaluating long video understanding is also a key area of focus.