Temporal Visualization using Physics based Dynamic Tag clouds

• Main Authors: Shiang-YiChen, 陳湘怡
• Other Authors: Tong-Yee Lee
• Format: Others
• Language: en_US
• Published: 2014
• Online Access: http://ndltd.ncl.edu.tw/handle/94977672006036359464

碩士 === 國立成功大學 === 資訊工程學系 === 102 === A word cloud is a visual representation of a collection of text documents that uses various font sizes and colors to depict significant words. The majority of previous studies on time-varying word clouds focuses on layout optimization and temporal trend visualization. However, they do not fully consider the temporal motions, temporal coherence, and spatial shapes of word clouds,which are important cues for human visual systems in capturing information from time-varying text data. This paper presents a novel method that uses rigid body dynamics to arrange multi-temporal word tags in a specific shape sequence under various constraints. Each word tag is regarded as a rigid body in dynamics. With the aid of geometric, aesthetic, and temporal coherence constraints, the proposed method can generate a temporally morphable word cloud that not only arranges word tags in their corresponding shapesbut also smoothly transforms the shapes of word clouds over time, thus yielding a pleasing time-varying visualization. The generated word-cloud morphing can be an effective storytelling and visualization tool that illustrates the temporal changes in both the word tags and the shapes of the word clouds. Experiment results on various data demonstrate the feasibility and flexibility of the proposed method in morphable word cloud generation.