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Content Based Image Retrieval Using Machine Learning Based Algorithm

  • Navjot KourEmail author
  • Naveen Gondhi
Conference paper
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 35)

Abstract

In research field, CBIR (Content Based Image retrieval) has played a vital role. This paper deals with the realization of different approaches used in image retrieval based on content. It gives a general idea of the currently accessible literature on content based image retrieval. In CBIR, a query image is searched from larger database and an exact match image is retrieved using efficient machine learning algorithms. Different algorithms i.e. Bacteria Foraging optimization algorithm, Swarm optimization algorithm, Convoltional neural network, Firefly network, Deep Belief Network, Support vector machine and Genetic algorithm are reviewed and their performance parameters are compared.

Keywords

CBIR Bacteria Foraging optimization algorithm Swarm optimization algorithm Convoltional neural network Firefly network Deep Belief Network Support vector machine and Genetic algorithm 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.SMVDU KatraKatraIndia

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