Acta Scientiarum Naturalium Universitatis Pekinensis

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Study of Intelligent Multimedia Display System for Classic Chinese Poetry

YAN Siyao, ZHENG Xuling, SHI Xiaodong, ZHENG Fakui   

  1. Department of Cognitive Science, Xiamen University, Xiamen 361005;
  • Received:2014-06-30 Online:2015-03-20 Published:2015-03-20



  1. 厦门大学智能科学与技术系, 厦门 361005;

Abstract: Focusing on classical Chinese poetry, the authors firstly achieve the combination of NLP, computing poetics and computer animation to solve the automatic animation generation of classical poetries. The authors firstly automatically determine the poetry style, subject matter and the time using SVM-based and collaborative learning classifier. After the achievement of automatic animation generation by using Flash Actionscript 3.0 script, using co-occurrence relationship supplies animation elements and gives poetry scene classification method. The results show that the proposed methodology initially solves the automatic generation of classical poetry animation, and provides a theoretical basis and experimental foundation for subsequent research.

Key words: ancient poetry, animation generation, SVM classification, co-occurrence analysis

摘要: 以中国古典诗词为研究对象, 首次尝试将自然语言处理、计算诗学和计算机动画等相关研究成果相结合来解决古典诗词的动画自动生成。首先使用基于SVM和协同学习的分类器对古诗风格、题材以及时间进行自动判定。随后在使用Flash Actionscript 3.0脚本实现动画自动生成的基础上, 利用共现关系对生成的动画进行动画元件的补充, 并提出古诗场景划分方法。实验表明, 提出的方法初步解决了古典诗词的动画自动生成问题, 也为后继的相关研究提供了理论依据和实验基础。

关键词: 古典诗词, 动画生成, SVM分类, 共现分析

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