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Indoor Object Classification Using Higher Dimensional MPEG Features

  • Dibyendu Roy ChaudhuriEmail author
  • Dhairya Chandra
  • Ankush Mittal
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1048)

Abstract

We propose a generic model to classify a given image by detecting a specific image patch. Employing MPEG-7 features along with feature selection populates the feature space which is used to train using SVM classier. Our work target toward classifying objects in an unclassified image. We propose a model that can detect objects through generic framework for larger classes. Our model gives an overall accuracy of over 97%.

Keywords

Image classification Object detection MPEG SVM 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Dibyendu Roy Chaudhuri
    • 1
    Email author
  • Dhairya Chandra
    • 1
  • Ankush Mittal
    • 1
  1. 1.Department of Computer ScienceGraphic Era Deemed to Be UniversityDehradunIndia

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