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 :
بازگشت