The application of fractal compression to content-based image retrieval: Comparison of methods
An-Zen Shih · 2009
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.