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)


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.


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


  1. 1.
    Ali, A., Sharma, S.: Content based image retrieval. In: ICICCS (2017)Google Scholar
  2. 2.
    Rashno, A., Sadri, S., SadeghianNejad, H.: An efficient content-based image retrieval with ant colony optimization feature selection schema based on wavelet and color features. In: AISP (2015)Google Scholar
  3. 3.
    Hu, G., Yang, F.: Image retrieval method based on particle swarm optimization algorithm. In: 2015 International Conference on Intelligent Transportation, Big Data and Smart City (2015)Google Scholar
  4. 4.
    Broilo, M., Rocca, P., De Natale, F.G.B.: Content-based image retrieval by a semisupervised particle swarm optimization. IEEE (2008)Google Scholar
  5. 5.
    Mohamed, O., Khalid, E.A., Mohammed, O., Brahim, A.: Content-based image retrieval using convolutional neural networks. Springer (2017)Google Scholar
  6. 6.
    Singh, H., Kaur, H.: Content based image retrieval using firefly algorithm and neural network. Int. J. Adv. Res. Comput. Sci. 8(1), (2017)Google Scholar
  7. 7.
    Saritha, R.R., Paul, V., Kumar, P.G.: Content based image retrieval using deep learning process. Springer (2018)Google Scholar
  8. 8.
    Sugamya, K., Pabboju, S., Babu, A.V.: A CBIR classification using support vector machine. In: International Conference on Advances in Human Machine Interaction (HMI - 2016), 03–05 March 2016. R. L. Jalappa Institute of Technology, Doddaballapur (2016)Google Scholar
  9. 9.
    Gali, R.: Genetic algorithm for content based image retrieval. In: Fourth International Conference on Computational Intelligence, Communication Systems and Networks. IEEE (2012)Google Scholar
  10. 10.
    Ligade, A.N., Patil, M.R.: Optimized content based image retrieval using genetic algorithm with relevance feedback technique. Int. J. Comput. Sci. Eng. Inform. Technol. Res. (IJCSEITR) 3(4), 49–54 (2013). ISSN 2249-6831Google Scholar
  11. 11.
    Bansal, M., Sidhu, B.S.: Content based image retrieval system using SVM technique. IJECT 5(4) (2014)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.SMVDU KatraKatraIndia

Personalised recommendations