Landmark Image Retrieval Using Visual Synonyms E. Gavves, C. G. M. Snoek In ACM International Conference on Multimedia 2010. [bibtex] [pdf] [url]

In this paper, we consider the incoherence problem of the visual words in bag-of-words vocabularies. Different from existing work, which performs assignment of words based solely on closeness in descriptor space, we focus on identifying pairs of independent, distant words — the visual synonyms — that are still likely to host image patches with similar appearance. To study this problem, we focus on landmark images, where we can examine whether image geometry is an appropriate vehicle for detecting visual synonyms. We propose an algorithm for the extraction of visual synonyms in landmark images. To show the merit of visual synonyms, we perform two experiments. We examine closeness of synonyms in descriptor space and we show a first application of visual synonyms in a landmark image retrieval setting. Using visual synonyms, we perform on par with the state-of-the-art, but with six times less visual words.

@InProceedings{GavvesICM2010,
  author       = "Gavves, E. and Snoek, C. G. M.",
  title        = "Landmark Image Retrieval Using Visual Synonyms",
  booktitle    = "ACM International Conference on Multimedia",
  year         = "2010",
  url          = "https://ivi.fnwi.uva.nl/isis/publications/2010/GavvesICM2010",
  pdf          = "https://ivi.fnwi.uva.nl/isis/publications/2010/GavvesICM2010/GavvesICM2010.pdf",
  has_image    = 1
}