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Design and Implementation of Cultural Relic Image Storage Based on SVG

  • Shen Hong
  • Ji Quan-zhi
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 99)

Abstract

This paper proposes design and implementation method of SVG -based cultural relic image storage by each SVG entity modularized and structured. Among of which include: design on database and model of cultural relic image, SVG document framework, design and realization of combination and splitting algorithm, generation and processing methods of cultural relic image information. In the end, an overall description will be given through the relevant example.

Keywords

SVG cultural relic image database storage algorithm 

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References

  1. 1.
    Wen, J., Li, Y.: Design and Implementation Based on XML - SVG Space Database. Computer Engineering and Applicatio (18), 169–175 (2005)Google Scholar
  2. 2.
    Gan, Z., Li, Z., Peng, B.: Data Description Model Based on SVG Vector Graphics Editing System. Computer Engineering and Design 26(1), 270–273 (2005)Google Scholar
  3. 3.
    Yuan, J.: Research on Scalable Vector Graphics (SVG) Data Representation. Doctoral Dissertation, 2 (2008)Google Scholar
  4. 4.
    Wang, J., Chen, J., Qu, Z.: Design and Implementation Based on SVG Power Figure Yuan Library. Relay 36(8), 79–82 (2008)Google Scholar
  5. 5.
    Zhao, X., Zhang, Y., Zhu, Z.: The SVG Graphics Library Research and Design Based On RDBMS. Computer Engineering and Design 30(1), 225–227 (2009)Google Scholar
  6. 6.
    Yang, X., Cui, W.: The Research Based on Database Comprehensive and SVG Network Mapping Integrated Systems. Computer Application 29(1), 201–204 (2009)CrossRefMathSciNetGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Shen Hong
    • 1
  • Ji Quan-zhi
    • 1
  1. 1.Institute of Information TechnologyBeijing Union UniversityBeijingChina

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