References
- Chen, M., Xu, M., and Franti, P., 2010. Fast dynamic quantization algorithm for vector map compression. In: 17th IEEE international conference on image processing (ICIP), 26–29 September, Hong Kong, 4289–4292.
- Douglas, D.H. and Peucker, T.K., 1973. Algorithms for the reduction of the number of points required to represent a digitized line or its caricature. Cartographica: The International Journal for Geographic Information and Geovisualization, 10, 112–122.
- Dutton, G., 1999. Scale, sinuosity, and point selection in digital line generalization. Cartography and Geographic Information Science, 26, 33–54.
- Feixiang, C., Jiandong, Q., and Ming, Z., 2009 An improved algorithm of vector data compression. In: International symposium on intelligent ubiquitous computing and education, 15–16 May, Chengdu, 156–159.
- Gailly, J.-L. and Adler, M., 2004. Zlib compression library [online]. Available from: http://www.zlib.net/manual.html [Accessed 3 December 2012].
- Gribov, A. and Bodansky, E., 2006. Reconstruction of orthogonal polygonal lines. In: Document Analysis Systems VII. Berlin: Springer.
- Haunert, J.-H. and Wolff, A., 2008. Optimal simplification of building ground plans. Proceedings of XXIst ISPRS Congress Beijing, IAPRS, XXXVII (Part B2), 372–378.
- ISO, 2005. ISO/IEC 13818-2:2000. Information technology – generic coding of moving pictures and associated audio information – video. MPEG(ISO/IEC JTC1/WG11).
- Jang, B.-J., et al., 2010. Effective vector map image compression technique for secure encryption and transmission. Korea-Japan Joint Workshop on Frontiers of Computer Vision (FCV), 1, 4.
- Jin-Feng, L., 2010 DCT-based vector data compression. In: International conference on Computer, Mechatronics, Control and Electronic Engineering (CMCE), vol. 5, 24–26 August, Changchun, 365–368.
- Li, Y. and Zhong, E., 2011. A new vector data compression approach for WebGIS. Geo-spatial Information Science, 14, 48–53.
- Pavlov, I., 2006. 7ZIP [online]. Available from: http://www.7-zip.org/7z.html [Accessed 1 December 2012].
- Shekhar, S., Huang, Y., and Djugash, J., 2002a Dictionary design algorithms for vector map compression. In: Proceedings of the data compression conference (DCC ’02). Washington, DC: IEEE Computer Society, 471.
- Shekhar, S., et al., 2002b. Vector map compression: a clustering approach. In: Proceedings of the 10th ACM international symposium on Advances in geographic information systems (GIS ’02), 8–9 November, McLean, VA, 74–80.
- Shi, W. and Cheung, C., 2006. Performance evaluation of line simplification algorithms for vector generalization. The Cartographic Journal, 43, 27–44.
- Yang, B. and Li, Q., 2009. Efficient compression of vector data map based on a clustering model. Geo-Spatial Information Science, 12, 13–17.