Corpus ID: 2261788

CoPhIR: a Test Collection for Content-Based Image Retrieval

@article{Bolettieri2009CoPhIRAT,
  title={CoPhIR: a Test Collection for Content-Based Image Retrieval},
  author={Paolo Bolettieri and Andrea Esuli and Fabrizio Falchi and Claudio Lucchese and Raffaele Perego and Tommaso Piccioli and Fausto Rabitti},
  journal={ArXiv},
  year={2009},
  volume={abs/0905.4627}
}
  • Paolo Bolettieri, Andrea Esuli, +4 authors Fausto Rabitti
  • Published 2009
  • Computer Science
  • ArXiv
  • The scalability, as well as the effectiveness, of the different Content-based Image Retrieval (CBIR) approaches proposed in literature, is today an important research issue. Given the wealth of images on the Web, CBIR systems must in fact leap towards Web-scale datasets. In this paper, we report on our experience in building a test collection of 100 million images, with the corresponding descriptive features, to be used in experimenting new scalable techniques for similarity searching, and… CONTINUE READING

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