VIS Posters

VideoMaster: Directing Data Videos with Cinematic Narrative

Yile Luo (The Hong Kong University of Science and Technology (Guangzhou)), Yupeng Xie (The Hong Kong University of Science and Technology (Guangzhou)), Weikai Yang (Hong Kong University of Science and Technology (Guangzhou))


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Abstract

Data videos combine animated charts, voiceover, and scene transitions to communicate data insights. However, effective data videos require more than presenting visual facts but demand narrative strategies to engage audiences. Existing automated generation systems express narrative intent mainly through prompts, producing narratively flat videos. We present VideoMaster, a data video generation system that introduces explicit cinematic narrative control: ten film-inspired narrative patterns, VideoSpec (a declarative narrative-state representation), and a two-stage narrative orchestration workflow. A within-subject pilot (N = 6) shows improved engagement (Mdn 5.6 vs. 3.2) and recall (88% vs. 64%) over a narrative-disabled ablation, without reducing perceived credibility.