Combining interest points and edges for content-based image retrieval

  title={Combining interest points and edges for content-based image retrieval},
  author={Junqiu Wang and Hongbin Zha and Roberto Cipolla},
  journal={IEEE International Conference on Image Processing 2005},
This paper presents a novel approach using combined features to retrieve images containing specific objects, scenes or buildings. The content of an image is characterized by two kinds of features: Harris-Laplace interest points described by the SIFT descriptor and edges described by the edge color histogram. Edges and corners contain the maximal amount of information necessary for image retrieval. The feature detection in this work is an integrated process: edges are detected directly based on… CONTINUE READING
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Indexing based on scale-invariant features

  • K. Mikoljczyk, C. Schmid
  • Proc. of Int’l Conf. on Computer Vision,
  • 2001
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  • H. Shao, T. Svoboda, L. V. Gool
  • Technical Report 260,
  • 2003
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