Manipulable Semantic Components: a Computational Representation of Data Visualization Scenes
Abstract
Various data visualization applications such as reverse engineering and interactive authoring require a vocabulary that describes the structure of visualization scenes and the procedure to manipulate them. A few scene abstractions have been proposed, but they are restricted to specific applications for a limited set of visualization types. A unified and expressive model of data visualization scenes for different applications has been missing. To fill this gap, we present Manipulable Semantic Components (MSC), a computational representation of data visualization scenes, to support applications in scene understanding and augmentation. MSC consists of two parts: a unified object model describing the structure of a visualization scene in terms of semantic components, and a set of operations to generate and modify the scene components. We demonstrate the benefits of MSC in three applications: visualization authoring, visualization deconstruction and reuse, and animation specification.
Cite
@article{arxiv.2408.04798,
title = {Manipulable Semantic Components: a Computational Representation of Data Visualization Scenes},
author = {Zhicheng Liu and Chen Chen and John Hooker},
journal= {arXiv preprint arXiv:2408.04798},
year = {2024}
}
Comments
To appear at IEEE Transactions on Visualization & Computer Graphics (Proceedings IEEE VIS'24), 2025. The paper has been selected for the VIS 2024 Honorable Mention award