CBIR system with relevance feedback using Hölder exponent

@article{Vesic2016CBIRSW,
  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)},
  year={2016},
  pages={1-4}
}
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
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