The Exploration of Visualization Technology in Sichuan Opera
DOI:
https://doi.org/10.54097/ajst.v4i3.4786Keywords:
Sichuan opera, Cultural visualization, Text visualization, Data visualization.Abstract
Visualization techniques can visually present and analyze data. This paper explores the visual field in the culture of Sichuan opera. Firstly, it summarizes the data of Sichuan opera and analyzes the characteristics of the data. Then, it introduces five kinds of visualization techniques: text visualization, hierarchical data visualization, network data visualization, spatio-temporal data visualization and multidimensional data visualization, and analyzes their application in the cultural visualization design of Sichuan Opera. Finally, the paper summarizes and puts forward the prospect.
Downloads
References
Du Jianhua, Wang Yifei. History of Sichuan Opera [M]. Social Science Literature Press, 2016.
Mu Pengcheng. Thoughts on the inheritance and development of Sichuan Opera Art [J]. Drama Home, 2017(10):26.
Ward M O , Grinstein G G , Keim D A . Interactive Data Visualization - Foundations, Techniques, and Applications [M]. A. K. Peters, Ltd. 2010.
Edited by Sichuan Opera Academy. The Dictionary of Sichuan Opera Repertory [M]. Sichuan Dictionary Press, 2000.
HE Yan. Conservation and Development of Sichuan Opera Literature Resources [J]. Journal of Sichuan Library, 2007(06):73-75.
Yuan Hai, Chen Kang, Tao Caixia, et al. Research on Visualization Technology Based on Chinese Text [J]. Telecommunication Science, 2014, 30(04):114-122.
Tang Jiayu, Liu Zhiyuan, Sun Maosong. A survey of text visualization [J]. Journal of Computer-Aided Design & Computer Graphics, 2013, 15(3): 273-285.
Viegas F B, Wattenberg M, Feinberg J. Participatory visualization with wordle [J]. IEEE Transactions on Visualization and Computer Graphics, 2009, 15(6):1137-1144.
Zhang Wei, Tan Siwei, Liu Kai, et al. A New Perspective of Song Ci Study: Text Relevance and Visual Analysis of Time and Space [J]. Journal of Computer Aided Design and Graphics, 2019, 31(10):1687-1697.
Wang Yi, Ren Shuxia. Research review of medical big data visualization [J]. Journal of Frontiers of Computer Science and Technology, 2017, 11(5): 681-699.
Wen Chao. Visualization of large hierarchical data using radial tree graph [D]. Tianjin University, 2016.
Therón, Roberto. Hierarchical-Temporal Data Visualization Using a Tree-Ring Metaphor [J]. International Symposium on Smart Graphics, 2006(09):70–81.
Chen Chao, Wu Yadong, Fu Chaoshuai, et al. Research on visualization of Chinese Baijiu culture [J]. Big data, 2021, 7(02):78-98.
Chen J W , Borovsky Z , Kawano Y, et al. The Shishuo xinyu as Data Visualization [J]. Early Medieval China, 2014, 2014(20):23-59.
Tobler W R. Experiments In Migration Mapping By Computer [J]. The American Cartographer, 2013.
Charles J M. Map of French wine exports for 1864. [Online] Available: http://en.wikipedia.org/wiki/Flow_map．
Zhou Zhiguang, Shi Chen, Shi Linsong, et al. A Survey on the Visual Analytics of Geospatial Data [J]. Journal of Computer Aided Design & Computer Graphics, 2018, 30(5):747-763.
Qi Senyu, Du Jinglin, Qian Shenshen, Yin Fulian. Research overview of multidimensional data visualization technology [J]. Software Guide, 2015, 14(07):15-17.
Ouyang Jian. Visual analysis and mining of large-scale ancient books for digital humanities research [J]. Journal of Chinese Library, 2016, 42(02):66-80.
Downloads
Published
Issue
Section
How to Cite
