Unsupervised Video Clustering

Unsupervised video clustering is a technique in the field of computer vision that aims to automatically divide large amounts of video data into multiple clusters with similar characteristics without the need for manual labeling. This method achieves efficient organization and management of unannotated videos by exploring their intrinsic structures and patterns, which facilitates applications such as video retrieval, content analysis, and intelligent surveillance, enhancing the level of data processing automation and user interaction experience.