Supervised Video Summarization

The supervised video summarization task relies on annotated real datasets, such as SumMe or TVSum, through which the model attempts to discover the underlying criteria for selecting video frames or segments to generate high-quality video summaries. This task aims to improve the efficiency of video content understanding and retrieval, making it of significant practical value.