Automatic generation of artistic chinese calligraphy

Songhua Xu, Francis C.M. Lau, Kwok Wai Cheung, Yunhe Pan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

We introduce a novel intelligent system which can generate new Chinese calligraphic artwork that meets certain aesthetic requirements automatically. In the machine learning phase, parametric representations of existent calligraphic artwork are derived from input images of calligraphy. Using a six-level hierarchical representation, the acquired knowledge is organized as a small structural stroke database, which is then exploited by a constraint-based analogous reasoning component to create artwork in new styles. A set of geometric constraints is proposed and incorporated into the system for rejecting the aesthetically unacceptable results. The combination of knowledge from various input sources creates a huge space for the intelligent system to explore and produce new calligraphy.

Original languageEnglish (US)
Title of host publicationProceedings - Nineteenth National Conference on Artificial Intelligence (AAAI-04)
Subtitle of host publicationSixteenth Innovative Applications of Artificial Intelligence Conference (IAAI-2004)
Pages937-942
Number of pages6
StatePublished - Dec 9 2004
Externally publishedYes
EventProceedings - Nineteenth National Conference on Artificial Intelligence (AAAI-2004): Sixteenth Innovative Applications of Artificial Intelligence Conference (IAAI-2004) - San Jose, CA, United States
Duration: Jul 25 2004Jul 29 2004

Other

OtherProceedings - Nineteenth National Conference on Artificial Intelligence (AAAI-2004): Sixteenth Innovative Applications of Artificial Intelligence Conference (IAAI-2004)
CountryUnited States
CitySan Jose, CA
Period7/25/047/29/04

All Science Journal Classification (ASJC) codes

  • Software
  • Artificial Intelligence

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