Image retrieval system capable of learning the user's sensibility using neural networks

Yoshiteru Kageyama, Hideo Saito

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

With the advent of the multimedia era, the needs to get the image that an user wants from a lot of images is going to be more concerned about. In this paper, we propose an interactive image retrieval system which employs back-propagation neural networks using the words that represents the user's sensibility, in order to deal with the user's ambiguous queries. When an user inputs the words, this system sets the synapse of the network which represents both the user and the word and displays candidate images according to the output values of the neural network. The user evaluates the similarity to the image that he wants to get until the system displays the optimal images, and the system produces the set of teach signals according to the user's evaluation. After training the network, the system displays new candidate images. The inputs of the neural network are image features which has one-to-one correspondence with images in the databases. We implemented this system on Sun SPARC station, and could see that the system could improve the candidate images each time an user evaluate them.

Original languageEnglish
Title of host publicationIEEE International Conference on Neural Networks - Conference Proceedings
PublisherIEEE
Pages1563-1567
Number of pages5
Volume3
Publication statusPublished - 1997
EventProceedings of the 1997 IEEE International Conference on Neural Networks. Part 4 (of 4) - Houston, TX, USA
Duration: 1997 Jun 91997 Jun 12

Other

OtherProceedings of the 1997 IEEE International Conference on Neural Networks. Part 4 (of 4)
CityHouston, TX, USA
Period97/6/997/6/12

Fingerprint

Image retrieval
Neural networks
Backpropagation
Sun

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering
  • Artificial Intelligence

Cite this

Kageyama, Y., & Saito, H. (1997). Image retrieval system capable of learning the user's sensibility using neural networks. In IEEE International Conference on Neural Networks - Conference Proceedings (Vol. 3, pp. 1563-1567). IEEE.

Image retrieval system capable of learning the user's sensibility using neural networks. / Kageyama, Yoshiteru; Saito, Hideo.

IEEE International Conference on Neural Networks - Conference Proceedings. Vol. 3 IEEE, 1997. p. 1563-1567.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Kageyama, Y & Saito, H 1997, Image retrieval system capable of learning the user's sensibility using neural networks. in IEEE International Conference on Neural Networks - Conference Proceedings. vol. 3, IEEE, pp. 1563-1567, Proceedings of the 1997 IEEE International Conference on Neural Networks. Part 4 (of 4), Houston, TX, USA, 97/6/9.
Kageyama Y, Saito H. Image retrieval system capable of learning the user's sensibility using neural networks. In IEEE International Conference on Neural Networks - Conference Proceedings. Vol. 3. IEEE. 1997. p. 1563-1567
Kageyama, Yoshiteru ; Saito, Hideo. / Image retrieval system capable of learning the user's sensibility using neural networks. IEEE International Conference on Neural Networks - Conference Proceedings. Vol. 3 IEEE, 1997. pp. 1563-1567
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