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On kNN Classification and Local Feature Based Similarity Functions

  • Giuseppe Amato
  • Fabrizio Falchi
Part of the Communications in Computer and Information Science book series (CCIS, volume 271)

Abstract

In this paper we consider the problem of image content recognition and we address it by using local features and kNN based classification strategies. Specifically, we define a number of image similarity functions relying on local features comparing their performance when used with a kNN classifier. Furthermore, we compare the whole image similarity approach with a novel two steps kNN based classification strategy that first assigns a label to each local feature in the document to be classified and then uses this information to assign a label to the whole image. We perform our experiments solving the task of recognizing landmarks in photos.

Keywords

Image classification Recognition Landmarks Pattern recognition Machine learning Local features 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Giuseppe Amato
    • 1
  • Fabrizio Falchi
    • 1
  1. 1.ISTI-CNRPisaItaly

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