Computationally evaluating and reproducing the beauty of Chinese calligraphy

Songhua Xu; Hao Jiang; Francis C.M. Lau; Yunhe Pan

doi:10.1109/MIS.2012.46

Computationally evaluating and reproducing the beauty of Chinese calligraphy

Songhua Xu, Hao Jiang, Francis C.M. Lau, Yunhe Pan

Research output: Contribution to journal › Article › peer-review

28 Scopus citations

Abstract

Training a computer to evaluate the aesthetics of Chinese characters provides a feedback mechanism to improve the quality of automatically generated calligraphy.

Original language	English (US)
Article number	6237459
Pages (from-to)	63-72
Number of pages	10
Journal	IEEE Intelligent Systems
Volume	27
Issue number	3
DOIs	https://doi.org/10.1109/MIS.2012.46
State	Published - 2012
Externally published	Yes

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Artificial Intelligence

Keywords

Chinese calligraphy
esthetic computing
intelligent CAD
intelligent system for art

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10.1109/MIS.2012.46

Cite this

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title = "Computationally evaluating and reproducing the beauty of Chinese calligraphy",

abstract = "Training a computer to evaluate the aesthetics of Chinese characters provides a feedback mechanism to improve the quality of automatically generated calligraphy.",

keywords = "Chinese calligraphy, esthetic computing, intelligent CAD, intelligent system for art",

author = "Songhua Xu and Hao Jiang and Lau, {Francis C.M.} and Yunhe Pan",

note = "Funding Information: This work was supported by the National Natural Science Foundation of China (NSFC), grant 60903132. Songhua Xu partly performed this research as a Eugene P. Wigner Fellow and staff member at the Oak Ridge National Laboratory, managed by UT-Battelle, LLC, for the US Department of Energy under contract",

year = "2012",

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AU - Xu, Songhua

AU - Jiang, Hao

AU - Lau, Francis C.M.

AU - Pan, Yunhe

N1 - Funding Information: This work was supported by the National Natural Science Foundation of China (NSFC), grant 60903132. Songhua Xu partly performed this research as a Eugene P. Wigner Fellow and staff member at the Oak Ridge National Laboratory, managed by UT-Battelle, LLC, for the US Department of Energy under contract

PY - 2012

Y1 - 2012

N2 - Training a computer to evaluate the aesthetics of Chinese characters provides a feedback mechanism to improve the quality of automatically generated calligraphy.

AB - Training a computer to evaluate the aesthetics of Chinese characters provides a feedback mechanism to improve the quality of automatically generated calligraphy.

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KW - esthetic computing

KW - intelligent CAD

KW - intelligent system for art

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Computationally evaluating and reproducing the beauty of Chinese calligraphy

Abstract

All Science Journal Classification (ASJC) codes

Keywords

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