Motion graphic (MG) videos are effective and compelling for presenting complex concepts through animated visuals; and colors are important to convey desired emotions, maintain visual continuity, and signal narrative transitions. However, current video color authoring workflows are fragmented, lacking contextual previews, hindering rapid theme adjustments, and not aligning with progressive authoring flows of designers. To bridge this gap, we introduce Piet, the first tool tailored for MG video color authoring. Piet features an interactive palette to visually represent color distributions, support controllable focus levels, and enable quick theme probing via grouped color shifts. We interviewed 6 domain experts to identify the frustrations in current tools and inform the design of Piet. An in-lab user study with 13 expert designers showed that Piet effectively simplified the MG video color authoring and reduced the friction in creative color theme exploration.

翻译：动态图形（MG）视频通过动画视觉呈现复杂概念，效果显著且引人入胜；色彩对于传达预期情感、维持视觉连贯性以及标示叙事过渡至关重要。然而，当前的视频色彩设计流程存在碎片化问题，缺乏上下文预览，阻碍了主题的快速调整，且未能与设计师渐进式的创作流程相匹配。为弥补这一不足，我们引入Piet——首个专为MG视频色彩设计量身定制的工具。Piet具有交互式调色板，可直观呈现色彩分布，支持可控的聚焦程度，并通过分组色彩偏移实现快速主题探索。我们访谈了6位领域专家，以识别当前工具中的痛点并为Piet的设计提供依据。一项包含13位专家设计师的实验室用户研究表明，Piet有效简化了MG视频的色彩设计过程，并减少了创意色彩主题探索中的障碍。