AI RESEARCH
SD-MVSum: Script-Driven Multimodal Video Summarization Method and Datasets
arXiv CS.CV
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ArXi:2510.05652v2 Announce Type: replace In this work, we present a method and two large-scale datasets for Script-Driven Multimodal Video Summarization. The proposed method, SD-MVSum, builds on our earlier SD-VSum method for script-driven video summarization, which considered just the visual content of the video. SD-MVSum takes into account, in addition to the visual modality, the relevance of the user-provided script with the spoken content (i.e., audio transcript) of the video.