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Description
  • The goal of this work is to retrieve images from a large geotagged image database depicting the same place as a given query photograph. Previous work has shown that objects, which frequently occur in the database (such as trees or road mark ings), can cause significant confusion between different places, and suppressing features on such %22confusing%22 objects can significantly improve retrieval performance. In this work, we investigate whether suppressing confusing features in the database can be cast as learning local per-image distance functions. We demonstrate that finding such local distance functions can be formulated as a linear program and perform initial experiments on a database of 17,000 street view images of Paris.
  • The goal of this work is to retrieve images from a large geotagged image database depicting the same place as a given query photograph. Previous work has shown that objects, which frequently occur in the database (such as trees or road mark ings), can cause significant confusion between different places, and suppressing features on such %22confusing%22 objects can significantly improve retrieval performance. In this work, we investigate whether suppressing confusing features in the database can be cast as learning local per-image distance functions. We demonstrate that finding such local distance functions can be formulated as a linear program and perform initial experiments on a database of 17,000 street view images of Paris. (en)
Title
  • Learning local distance functions for place recognition
  • Learning local distance functions for place recognition (en)
skos:prefLabel
  • Learning local distance functions for place recognition
  • Learning local distance functions for place recognition (en)
skos:notation
  • RIV/68407700:21230/12:00200341!RIV13-MSM-21230___
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(7E10046), S
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
  • 146645
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/12:00200341
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • place recognition; local distance function learning (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [190C236B3BA8]
http://linked.open...v/mistoKonaniAkce
  • Mala Nedelja
http://linked.open...i/riv/mistoVydani
  • Ljubljana
http://linked.open...i/riv/nazevZdroje
  • CVWW 2012: Proceedings of the 17th Computer Vision Winter Workshop
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
  • Pajdla, Tomáš
  • Gronát, Petr
  • Šivic, J.
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • Slovenian Pattern Recognition Society
https://schema.org/isbn
  • 978-961-90901-6-9
http://localhost/t...ganizacniJednotka
  • 21230
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