Gemini<sup>2</sup>: Generating Keyframe-Oriented Animated Transitions Between Statistical Graphics
Young-Hoon Kim, Jeffrey Heer
University of Washington
内容与影响
Complex animated transitions may be easier to understand when divided into separate, consecutive stages. However, effective staging requires careful attention to both animation semantics and timing parameters. We present Gemini2, a system for creating staged animations from a sequence of chart keyframes. Given only a start state and an end state, Gemini2can automatically recommend intermediate keyframes for designers to consider. The Gemini2recommendation engine leverages Gemini, our prior work, and GraphScape to itemize the given complex change into semantic edit operations and to recombine operations into stages with a guided order for clearly conveying the semantics. To evaluate Gemini2’s recommendations, we conducted a human-subject study in which participants ranked recommended animations from both Gemini2and Gemini. We find that Gemini2’s animation recommendation ranking is well aligned with subjects’ preferences, and Gemini2can recommend favorable animations that Gemini cannot support.
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计算机 / AIData Visualization and Analytics
Computer Graphics and Visualization Techniques · Video Analysis and Summarization
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