An Image Retrieval Method Based on a Genetic Algorithm

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S. Kato and S.-i. Iisaku: An Image Retrieval Method Based on a Genetic Algorithm. 13th International Conference on Information Networking (ICOIN'98), 333 - 336.



This paper describes an image retrieval system based on a genetic algorithm with an interactive mechanism that dynamically reflects the subjectivity of individual users in the retrieval results. A technique for enhancing circumstantial dependence that corresponds to a change of the user's mind is also newly presented. In this approach, without explicit representation of the desired image, the image is nevertheless induced through feature selection based on the diverse, fragmentary, and ambiguous subjective intent of the user. This points the way to a powerful image retrieval system that is capable of guessing the subjective intent in the mind of the user and is not dependent on overt representation of images

Extended Abstract


author={S. Kato and S. i. Iisaku},
booktitle={Information Networking, 1998. (ICOIN-12) Proceedings., Twelfth International Conference on},
title={An image retrieval method based on a genetic algorithm},
keywords={feature extraction;genetic algorithms;information retrieval;query processing;visual databases;feature selection;genetic algorithm;image retrieval;interactive mechanism;Biological cells;Cost accounting;Feedback;Genetic algorithms;Image retrieval},
url={  },

Used References

C. Caldwell and V. S. Johnston, "Tracking a criminal suspect through "Face-Space" with a Genetic Algorithm", Proc. of 4th Int. Conf. on Genetic Algorithms, pp. 416-421, 1991

H. Shiraki and H. Saito, "An interactive image retrieval system using Genetic Algorithms", International Conference on Virtual Systems and Multimedia \'96 in Gifu, 1996

S. Kato, "Feature Selection in Flexible Image Retrieval", The Transactions of the Inst. of Electronics, Information and Communication Engineers of Japan, D-II, vol. J8-D-II, no. 2, pp. 598-606, 1997

S. Kato and S. Iisaku, "An image retrieval technique using genetic algorithms as a method of reflecting user subjectivity", Proceedings of the 2nd Symposium Intelligent Information Media, pp. 91-98, 1996


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