Scene Classification Using Adaptive Processing of Tree Representation of Rectangular-Shape Partition of Images

  • Wei Sun
  • Ken Lo
  • Zheru Chi
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3497)


Image classification is very helpful for organizing large image databases and content based image retrieval (CBIR). However, it is very complex and challenging because of lacking effective methods. In this paper, we present a tree representation of images based on rectangular-shape partition. Then an adaptive processing algorithm is adopted to perform the classification task. Experimental results on seven categories of scenery images show that the structural representations are better than the traditional methods and our previous work based on quadtree representation of fixed partition.


Adaptive Processing Content Base Image Retrieval Tree Representation Scenery Image Scene Classification 
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 2005

Authors and Affiliations

  • Wei Sun
    • 1
  • Ken Lo
    • 1
  • Zheru Chi
    • 1
  1. 1.Department of Electronic and Information EngineeringThe Hong Kong Polytechnic UniversityHong KongChina

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