MEDit-Bench: A Dataset for Evaluating Message-Driven Narrative Video Editing
arXiv:2607.25300v1 Announce Type: new Abstract: Video editing is fundamentally message-driven: even from the same source footage, the selected shots change depending on the narrative the editor wishes to convey. Benchmarks for a closely related task, video summarization, reduce editorial intent to a single, message-agnostic notion of saliency and thus do not account for this diversity. For evaluating message-driven video editing, we present \textbf{MEDit-Bench}, a dataset and benchmark, which pa...
arXiv cs.CV
·Katsuya Ogata, Zongshang Pang, Mayu Otani, Yuta Nakashima
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