CBIR system with relevance feedback using Hölder exponent

  title={CBIR system with relevance feedback using H{\"o}lder exponent},
  author={Milena D. Vesic and Goran J. Zajic and Ana Gavrovska},
  journal={2016 13th Symposium on Neural Networks and Applications (NEUREL)},
In this paper Content Base Image Retrieval (CBIR) system with relevance feedback is presented, where image database search is performed using singularity strength (Holder exponent). Images in database are described with low-level features for color and texture, which are concatenated in feature vectors (FV). Relevance feedback is implemented in CBIR system employing the artificial intelligence based on Radial Bases Functions. Feature vectors are refined using local singularities. Search… CONTINUE READING
0 Citations
8 References
Similar Papers


Publications referenced by this paper.
Showing 1-8 of 8 references

The Influence of the Feature Vector Content on the CBIR System Efficiency

  • T. Huang Y. Rui
  • Proc . of TELSIKS
  • 2009

The virage image search engine : An open framework for image management ”

  • B. Horowitz, C. F. Shu
  • Proc . SPIE Conf . Storage and Retrieval for…
  • 1996

Direct determination of the f ( a ) singularity spectrum and its application to fully developed turbulence ”

  • A. B. Chhabra
  • The fractal geometry of nature ”
  • 1977

Similar Papers

Loading similar papers…