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Author Chen, Gen-Fang
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Copyright Year ©2014
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Intangible cultural heritage ♦ Digital Kunqu opera ♦ Digital preservation ♦ Editable text ♦ Semantic annotation
Abstract This article introduces the study contents and some research findings regarding digital preservation methods for Chinese $\textit{Kunqu}$ opera libretto historical literature, including historical literature electronic libretto transformation, libretto musical score image segmentation, musical information recognition, musical score information representation, musical score information storage, and libretto reconstruction on the Web. It proposes a novel editable text method to represent the multidimensional tree-like information structure of the $\textit{Kunqu}$ libretto literature and a musical semantic annotation method based on numbered musical notation to accommodate the musical features of $\textit{Kunqu}$ librettos. To maintain the characteristics of the original $\textit{Kunqu}$ musical notation, it proposes a method to reconstruct $\textit{Kunqu}$ libretto on the Web based on scalable vector graphics. Some $\textit{Kunqu}$ librettos were randomly selected for experiments, and the results demonstrated that the editable text method and the musical semantic annotation method were able to fully represent the effective information of the $\textit{Kunqu}$ libretto literature and that the method to reconstruct librettos on the Web was able to reflect the writing characteristics of the musical notation in the original librettos. Finally, it discusses the primary future research directions related to digital $\textit{Kunqu},$ including $\textit{Kunqu}$ libretto metadata research, corpus construction for the librettos and $\textit{Qupai}$ (the unique ancient Chinese tune mode), libretto music information disambiguation research, libretto image segmentation and pattern recognition, digital $\textit{Kunqu}$ roles, digital $\textit{Kunqu}$ stages, digital $\textit{Kunqu}$ costume suitcases, virtual $\textit{Kunqu},$ digitization and restoration of $\textit{Kunqu}$ cultural relics, and $\textit{Kunqu}'s$ application prospects in conventional media such as animation, anime, and movies.
ISSN 15564673
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2014-04-01
Publisher Place New York
e-ISSN 15564711
Journal Journal on Computing and Cultural Heritage (JOCCH)
Volume Number 7
Issue Number 1
Page Count 16
Starting Page 1
Ending Page 16


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Source: ACM Digital Library