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Description
  • We present a novel similarity measure for bag-of-words type large scale image retrieval. The similarity function is learned in an unsupervised manner, requires no extra space over the standard bag-of-words method and is more discriminative than both L2-based soft assignment and Hamming embedding. Experimentally we show that the novel similarity function achieves mean average precision that is superior to any result published in the literature on the standard Oxford 105k dataset/protocol. At the same time, retrieval with the proposed similarity function is faster than the reference method.
  • We present a novel similarity measure for bag-of-words type large scale image retrieval. The similarity function is learned in an unsupervised manner, requires no extra space over the standard bag-of-words method and is more discriminative than both L2-based soft assignment and Hamming embedding. Experimentally we show that the novel similarity function achieves mean average precision that is superior to any result published in the literature on the standard Oxford 105k dataset/protocol. At the same time, retrieval with the proposed similarity function is faster than the reference method. (en)
Title
  • Learning a Fine Vocabulary
  • Learning a Fine Vocabulary (en)
skos:prefLabel
  • Learning a Fine Vocabulary
  • Learning a Fine Vocabulary (en)
skos:notation
  • RIV/68407700:21230/10:00175516!RIV11-GA0-21230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(7E08031), P(GP102/09/P423), R, Z(MSM6840770038)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 268075
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/10:00175516
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • content based image retrieval; visual vocabulary learning; large scale (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [9C4CD7FB7E54]
http://linked.open...v/mistoKonaniAkce
  • Heraklion
http://linked.open...i/riv/mistoVydani
  • Heidelberg
http://linked.open...i/riv/nazevZdroje
  • Computer Vision - ECCV 2010, 11th European Conference on Computer Vision, Proceedings, Part III
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Matas, Jiří
  • Perďoch, Michal
  • Chum, Ondřej
  • Mikulík, Andrej
http://linked.open...vavai/riv/typAkce
http://linked.open...ain/vavai/riv/wos
  • 000286578500001
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
issn
  • 0302-9743
number of pages
http://purl.org/ne...btex#hasPublisher
  • Springer-Verlag
https://schema.org/isbn
  • 978-3-642-15557-4
http://localhost/t...ganizacniJednotka
  • 21230
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