Landmark Image Retrieval Using Visual Synonyms

Open Access
Authors
Publication date 2010
Book title MM '10: proceedings of the ACM Multimedia 2010 International Conference: October 25-29, 2010, Firenze, Italy
ISBN
  • 9781605589336
Event 2010 ACM International Conference on Multimedia
Pages (from-to) 1123-1126
Publisher New York, NY: Association for Computing Machinery
Organisations
  • Faculty of Science (FNWI) - Informatics Institute (IVI)
Abstract
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 problems 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.
Document type Conference contribution
Language English
Published at https://doi.org/10.1145/1873951.1874166
Downloads
GavvesICM2010 (Accepted author manuscript)
Permalink to this page
Back