DocumentCode
3099610
Title
The application of fractal compression to content-based image retrieval: Comparison of methods
Author
Shih, An-zen
Author_Institution
Dept. of Inf. Eng., Jin-Wen Univ. of Technol., Taipei, Taiwan
Volume
5
fYear
2009
fDate
12-15 July 2009
Firstpage
2987
Lastpage
2990
Abstract
In this paper we will discuss the application of fractal compression concept in the field of content-based image retrieval. We will give a brief survey of the people´s work that using fractal compressed code to retrieve images. In addition, an experiment that evaluates retrieval efficiency is given. Although their algorithms are slightly different from each other, the experiment results show that the searching efficiency and error rate are stable. This discovery suggests that fractal compressed code is an efficient and robust method of content-based image retrieval. Finally, we will address the problem of using fractal code in content-based image retrieval to help people´s future work.
Keywords
content-based retrieval; fractals; image coding; image retrieval; content-based image retrieval; fractal compressed code; fractal compression concept; searching efficiency; Content based retrieval; Cybernetics; Fractals; Image coding; Image retrieval; Information retrieval; Machine learning; Robustness; Shape; Testing; Content-based image retrieval; Fractal;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2009 International Conference on
Conference_Location
Baoding
Print_ISBN
978-1-4244-3702-3
Electronic_ISBN
978-1-4244-3703-0
Type
conf
DOI
10.1109/ICMLC.2009.5212611
Filename
5212611
Link To Document