Morphable Word Clouds for Time-Varying Text Data Visualization

Ming Te Chi, Shih Syun Lin, Shiang Yi Chen, Chao-Hung Lin, Tong-Yee Lee

研究成果: Article

23 引文 (Scopus)

摘要

A word cloud is a visual representation of a collection of text documents that uses various font sizes, colors, and spaces to arrange and 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 spatial shapes and temporal motions of word clouds, which are important factors for attracting people's attention and are also 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 shapes but also smoothly transforms the shapes of word clouds over time, thus yielding a pleasing time-varying visualization. Using the proposed frame-by-frame and morphable word clouds, people can observe the overall story of a time-varying text data from the shape transition, and people can also observe the details from the word clouds in frames. Experimental results on various data demonstrate the feasibility and flexibility of the proposed method in morphable word cloud generation. In addition, an application that uses the proposed word clouds in a simulated exhibition demonstrates the usefulness of the proposed method.

原文English
文章編號7118241
頁(從 - 到)1415-1426
頁數12
期刊IEEE Transactions on Visualization and Computer Graphics
21
發行號12
DOIs
出版狀態Published - 2015 十二月 1

指紋

Data visualization
Visualization
Color

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Computer Graphics and Computer-Aided Design

引用此文

@article{bfebf636a54b42cbbbc477057b364f49,
title = "Morphable Word Clouds for Time-Varying Text Data Visualization",
abstract = "A word cloud is a visual representation of a collection of text documents that uses various font sizes, colors, and spaces to arrange and 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 spatial shapes and temporal motions of word clouds, which are important factors for attracting people's attention and are also 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 shapes but also smoothly transforms the shapes of word clouds over time, thus yielding a pleasing time-varying visualization. Using the proposed frame-by-frame and morphable word clouds, people can observe the overall story of a time-varying text data from the shape transition, and people can also observe the details from the word clouds in frames. Experimental results on various data demonstrate the feasibility and flexibility of the proposed method in morphable word cloud generation. In addition, an application that uses the proposed word clouds in a simulated exhibition demonstrates the usefulness of the proposed method.",
author = "Chi, {Ming Te} and Lin, {Shih Syun} and Chen, {Shiang Yi} and Chao-Hung Lin and Tong-Yee Lee",
year = "2015",
month = "12",
day = "1",
doi = "10.1109/TVCG.2015.2440241",
language = "English",
volume = "21",
pages = "1415--1426",
journal = "IEEE Transactions on Visualization and Computer Graphics",
issn = "1077-2626",
publisher = "IEEE Computer Society",
number = "12",

}

Morphable Word Clouds for Time-Varying Text Data Visualization. / Chi, Ming Te; Lin, Shih Syun; Chen, Shiang Yi; Lin, Chao-Hung; Lee, Tong-Yee.

於: IEEE Transactions on Visualization and Computer Graphics, 卷 21, 編號 12, 7118241, 01.12.2015, p. 1415-1426.

研究成果: Article

TY - JOUR

T1 - Morphable Word Clouds for Time-Varying Text Data Visualization

AU - Chi, Ming Te

AU - Lin, Shih Syun

AU - Chen, Shiang Yi

AU - Lin, Chao-Hung

AU - Lee, Tong-Yee

PY - 2015/12/1

Y1 - 2015/12/1

N2 - A word cloud is a visual representation of a collection of text documents that uses various font sizes, colors, and spaces to arrange and 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 spatial shapes and temporal motions of word clouds, which are important factors for attracting people's attention and are also 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 shapes but also smoothly transforms the shapes of word clouds over time, thus yielding a pleasing time-varying visualization. Using the proposed frame-by-frame and morphable word clouds, people can observe the overall story of a time-varying text data from the shape transition, and people can also observe the details from the word clouds in frames. Experimental results on various data demonstrate the feasibility and flexibility of the proposed method in morphable word cloud generation. In addition, an application that uses the proposed word clouds in a simulated exhibition demonstrates the usefulness of the proposed method.

AB - A word cloud is a visual representation of a collection of text documents that uses various font sizes, colors, and spaces to arrange and 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 spatial shapes and temporal motions of word clouds, which are important factors for attracting people's attention and are also 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 shapes but also smoothly transforms the shapes of word clouds over time, thus yielding a pleasing time-varying visualization. Using the proposed frame-by-frame and morphable word clouds, people can observe the overall story of a time-varying text data from the shape transition, and people can also observe the details from the word clouds in frames. Experimental results on various data demonstrate the feasibility and flexibility of the proposed method in morphable word cloud generation. In addition, an application that uses the proposed word clouds in a simulated exhibition demonstrates the usefulness of the proposed method.

UR - http://www.scopus.com/inward/record.url?scp=84946560609&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84946560609&partnerID=8YFLogxK

U2 - 10.1109/TVCG.2015.2440241

DO - 10.1109/TVCG.2015.2440241

M3 - Article

C2 - 26529462

AN - SCOPUS:84946560609

VL - 21

SP - 1415

EP - 1426

JO - IEEE Transactions on Visualization and Computer Graphics

JF - IEEE Transactions on Visualization and Computer Graphics

SN - 1077-2626

IS - 12

M1 - 7118241

ER -