Multi-annulus partition based image representation for image classification

Ye Liang, Jian Yu, Hongzhe Liu, Zhifeng Xiao

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

The paper proposes a new spatial extension of Bag-of-Features (BoF) formalism for classification tasks. The scheme is based on multi-annulus partition which contains much spatial information of image space. Experiments are conducted using final super-vector image representation in Support Vector Machine (SVM) framework for classification on Oxford flowers and 15 scenes data sets. The results of experiment have shown the effectiveness of our scheme in terms of multiple performance metrics. In addition, our scheme is conceptually simple and easily adoptable. It can lead to much more compact representations and more invariance to image transformation compared to several existing works.

Original languageEnglish (US)
Pages (from-to)57-63
Number of pages7
JournalInternational Journal of Sensor Networks
Volume13
Issue number1
DOIs
StatePublished - 2013

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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