CHARACTERISTICS OF VISUAL COMPLEXITY: CALLIGRAPHIC FONTS VS. PRINTED FONTS

被引:0
|
作者
Wang, Yuchen [1 ]
Lyu, Ruimin [1 ]
机构
[1] Jiangnan Univ, Jiangsu Key Univ Lab Software & Media Technol Hum, Wuxi, Jiangsu, Peoples R China
关键词
Visual complexity; writing systems; Chinese calligraphic; AI calligraphic; COMPRESSION;
D O I
10.1109/ICMEW63481.2024.10645358
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The Chinese characters possess diverse calligraphic styles and corresponding calligraphers. These styles are evidently manifested on a visual level, stemming from certain visual disparities between calligraphic characters and common characters. We aim to explore the specific visual disparities that distinguish calligraphic characters from standard ones, endowing them with higher levels of recognition difficulty and artistic value. This can help evaluate to what extent AI-generated calligraphic characters match a specific calligraphy style. To achieve this, we leveraged research findings on visual complexity to measure various aspects of complexity for a certain number of calligraphic characters and printed characters. We found that the significant differences in visual complexity between the two lie in perimeter complexity, terminations, and intersections. Based on the findings, we evaluated the quality of calligraphic characters generated by Midjourney. They basically possess the common characteristics of calligraphic characters, but do not quite match the specified calligraphic style.
引用
收藏
页数:6
相关论文
共 50 条
  • [1] A proposal of generating artistic Japanese calligraphic fonts
    Nakamura, T
    He, LF
    Itoh, H
    ADVANCED TOPICS IN ARTIFICIAL INTELLIGENCE, 1999, 1747 : 490 - 491
  • [2] FRACTAL CODING OF CHINESE SCALABLE CALLIGRAPHIC FONTS
    HORACE, HS
    WONG, HTF
    MONG, FY
    COMPUTERS & GRAPHICS, 1994, 18 (03) : 343 - 351
  • [3] A study on digital value-added applications of Chinese calligraphic fonts
    Lam, Artde Donald Kin-Tak
    Wen, Kuo-Hsun
    Lee, Yi-Yeh
    INNOVATION, COMMUNICATION AND ENGINEERING, 2014, : 711 - 713
  • [4] Classifying Digital Arabic Fonts Based on Design Characteristics
    Janbi, Jehan
    2018 21ST SAUDI COMPUTER SOCIETY NATIONAL COMPUTER CONFERENCE (NCC), 2018,
  • [5] The Impact of Smartphone Fonts and Text Colors on Visual Recognition of the Elderly
    Zhao, Yulin
    Luh, Ding-Bang
    HUMAN ASPECTS OF IT FOR THE AGED POPULATION, PT I, ITAP 2024, 2024, 14725 : 183 - 191
  • [6] A Study on Visual Scale and Proportion of Computer Used Chinese Fonts
    Sun, Yuanyuan
    Zhang, Xiaokai
    2011 IEEE 12TH INTERNATIONAL CONFERENCE ON COMPUTER-AIDED INDUSTRIAL DESIGN & CONCEPTUAL DESIGN, VOLS 1 AND 2: NEW ENGINES FOR INDUSTRIAL DESIGN: INTELLIGENCE - INTERACTION - SERVICES, 2011, : 749 - 752
  • [7] DNA Skyline: fonts to facilitate visual inspection of nucleic acid sequences
    Jarvius, J
    Landegren, U
    BIOTECHNIQUES, 2006, 40 (06) : 740 - 740
  • [8] The Visual Culture of Baptism in the Middle Ages: Essays on Medieval Fonts, Settings and Beliefs.
    Jensen, Robin Margaret
    SPECULUM-A JOURNAL OF MEDIEVAL STUDIES, 2014, 89 (03): : 830 - 832
  • [9] Visual perseveration for faces, places, objects, and fonts; Implications for functional organization of the ventral pathway
    Sagiv, N
    List, A
    Deouell, LY
    Vuilleumier, P
    Knight, RT
    D'Esposito, M
    Robertson, LC
    JOURNAL OF COGNITIVE NEUROSCIENCE, 2002, : 170 - 171
  • [10] Dynamic Visual Noise Does Not Affect Memory for Fonts Redefining the Image Definition Hypothesis
    Chubala, Chrissy M.
    Ensor, Tyler M.
    Neath, Ian
    Surprenant, Aimee M.
    EXPERIMENTAL PSYCHOLOGY, 2020, 67 (03) : 161 - 168