Extracting semantic concepts from images: a decisive feature pattern mining approach

@article{Wang2006ExtractingSC,
  title={Extracting semantic concepts from images: a decisive feature pattern mining approach},
  author={Wei Wang and Aidong Zhang},
  journal={Multimedia Systems},
  year={2006},
  volume={11},
  pages={352-366}
}
One major challenge in the content-based image retrieval (CBIR) and computer vision research is to bridge the so-called “semantic gap” between low-level visual features and high-level semantic concepts, that is, extracting semantic concepts from a large database of images effectively. In this paper, we tackle the problem by mining the decisive feature patterns (DFPs). Intuitively, a decisive feature pattern is a combination of low-level feature values that are unique and significant for… CONTINUE READING
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