Manipulable Semantic Components: a Computational Representation of Data Visualization Scenes
Zhicheng Liu, Chen Chen, John Hooker
备注：
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
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.
Interactive Augmented Reality-enabled Outdoor Scene Visualization For Enhanced Real-time Disaster Response
Harokopio University of Athens（哈罗基皮奥雅典大学）；Archimedes, Athena Research Center（阿基米德，雅典研究中心）；Kingston University（金斯顿大学）；University of Western Macedonia（西马其顿大学）
Efficient 3D Reconstruction, Streaming and Visualization of Static and Dynamic Scene Parts for Multi-client Live-telepresence in Large-scale Environments
University of Bonn（波恩大学）；Delft University of Technology（代尔夫特理工大学）
