Optimization of Quadtree Representation and Compression

  • Xiang Yin
  • Ryszard Janicki
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7413)


The quadtrees are a popular representation method for spatial data. In 2009, a heuristic algorithm, called CORN (Choosing an Optimal Root Node), for finding a root node of a region quadtree, has been proposed. It substantially reduces the number of leaf nodes when compared with the standard quadtree decomposition. In this paper, some approximation ideas are applied to improve the CORN algorithm. The empirical results indicate that the new proposed algorithm improves the quadtree representation and data compression.


Root Node Leaf Node Binary Image Outer Approximation White Node 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Xiang Yin
    • 1
  • Ryszard Janicki
    • 1
  1. 1.Department of Computing and SoftwareMcMaster UniversityHamiltonCanada

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