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      • Department of Computer Engineering
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      Image classification using subgraph histogram representation

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      Author
      Özdemir, Bahadır
      Aksoy, Selim
      Date
      2010
      Source Title
      2010 20th International Conference on Pattern Recognition
      Print ISSN
      1051-4651
      Publisher
      IEEE
      Pages
      1112 - 1115
      Language
      English
      Type
      Conference Paper
      Item Usage Stats
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      Abstract
      We describe an image representation that combines the representational power of graphs with the efficiency of the bag-of-words model. For each image in a data set, first, a graph is constructed from local patches of interest regions and their spatial arrangements. Then, each graph is represented with a histogram of subgraphs selected using a frequent subgraph mining algorithm in the whole data. Using the subgraphs as the visual words of the bag-of-words model and transforming of the graphs into a vector space using this model enables statistical classification of images using support vector machines. Experiments using images cut from a large satellite scene show the effectiveness of the proposed representation in classification of complex types of scenes into eight high-level semantic classes. © 2010 IEEE.
      Keywords
      Bag of words
      Data sets
      Frequent subgraph mining
      High level semantics
      Image representations
      Interest regions
      Spatial arrangements
      Statistical classification
      Subgraphs
      Visual word
      Graphic methods
      Pattern recognition
      Support vector machines
      Vector spaces
      Statistical methods
      Permalink
      http://hdl.handle.net/11693/28512
      Published Version (Please cite this version)
      http://dx.doi.org/10.1109/ICPR.2010.278
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      • Department of Computer Engineering 1368
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