Searching Images by Using Color Structure

Authors

  • Rafayel V. Barseghyan Institute for Informatics and Automation Problems of NAS RA

Keywords:

image search, color structure, visual similarity

Abstract

In this paper a color-structured image search method is proposed which allows to classify large image collections by color and quickly find the interested images. According to the proposed method a software system is developed that demonstrates the efficiency and accuracy of the proposed method.

References

http://images.google.com

http://images.yandex.ru

http://bing.com/images

http://tineye.com

http://picsearch.com

W. H. Hsu, L. S. Kennedy, and S.-F. Chang, “Reranking methods for visual search," IEEE MultiMedia, vol. 14, no. 3, pp. 14-22, 2007.

Y. Jing and S. Baluja, "Page rank for product image search. In WWW,"WWW 2008, Beijing, China, pp. 307-316, 2008.

J. Cui, F. Wen, and X. Tang, “Intent Search: Interactive on-line image search re-ranking, "Proc. 16th ACM Int'l Conf. Multimedia, pp. 997-998, 2008.

http://labs.tineye.com/multicolr

http://labs.tineye.com/multicolour

http://ideeinc.com

http://flickr.com

http://dribbble.com

http://flickr.com/services/api/

http://imagemagick.org

http://imagemagick.org/script/formats.php

http://redis.io

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Published

2021-12-10

How to Cite

Barseghyan, R. V. (2021). Searching Images by Using Color Structure. Mathematical Problems of Computer Science, 39, 101–105. Retrieved from http://mpcs.sci.am/index.php/mpcs/article/view/427

Issue

Vol. 39 (2013): Mathematical Problems of Computer Science

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.