Whole Video

Whole video analysis focuses on processing and understanding the entirety of video data, aiming to extract meaningful information beyond individual frames. Current research emphasizes efficient algorithms for tasks like video question answering, multi-object tracking, and instance segmentation, often employing deep learning models such as convolutional neural networks (CNNs) and incorporating temporal consistency mechanisms. These advancements are improving applications ranging from social media video summarization to real-time video understanding in sports analysis and surveillance, driving progress in both computer vision and artificial intelligence.