VideoXum
Introduced by Lin et al. in VideoXum: Cross-modal Visual and Textural Summarization of Videos
VideoXum is an enriched large-scale dataset for cross-modal video summarization. The dataset is built on ActivityNet Captions. The datasets includes three subtasks: Video-to-Video Summarization (V2V-SUM), Video-to-Text Summarization (V2T-SUM), and Video-to-Video&Text Summarization (V2VT-SUM).
Papers
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