The application of fractal compression to content-based image retrieval: Comparison of methods

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 g...

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Bibliographic Details
Published in2009 International Conference on Machine Learning and Cybernetics Vol. 5; pp. 2987 - 2990
Main Author An-Zen Shih
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2009
Subjects
Content based retrieval
Content-based image retrieval
Cybernetics
Fractal
Fractals
Image coding
Image retrieval
Information retrieval
Machine learning
Robustness
Shape
Testing
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Summary: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.
ISBN:9781424437023
1424437024
ISSN:2160-133X
DOI:10.1109/ICMLC.2009.5212611