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      Improving Bag-of-Words model with spatial information

      Zhang, Edmond Yiwen; Mayo, Michael
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      Zhang Mayo ivcnz10.pdf
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      DOI
       10.1109/IVCNZ.2010.6148795
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      Zhang, E. & Mayo, M. (2010) Improving Bag-of-Words model with spatial information. Paper presented at the 25th International Conference of Image and Vision Computing New Zealand, Queenstown, 8 & 9 November 2010.
      Permanent Research Commons link: https://hdl.handle.net/10289/4874
      Abstract
      Bag-of-Words (BOW) models have recently become popular for the task of object recognition, owing to their good performance and simplicity. Much work has been proposed over the years to improve the BOW model, where the Spatial Pyramid Matching technique is the most notable. In this work, we propose three novel techniques to capture more re_ned spatial information between image features than that provided by the Spatial Pyramids. Our techniques demonstrate a performance gain over the Spatial Pyramid representation of the BOW model.
      Date
      2010
      Type
      Conference Contribution
      Publisher
      IEEE
      Rights
      © 2010 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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      • Computing and Mathematical Sciences Papers [1389]
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