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Description
  • As the volume of non-textual data, such images and other multimedia data, available on Internet is increasing. The issue of identifying data items based on query containment rather than query equality is more and more important. In this paper, we propose a solution to this problem. We assume the local descriptors are extracted from data item, so the aforementioned problem reduces to finding data items of a collection that share as many as possible local descriptors with the query. In particular, we defined a new e-intersection that identifies close (similar) descriptors. Local descriptors usually contain the location of the descriptors in the original data, so the proposed solution takes into account them to increase effectiveness of searching. We evaluate the e-intersection on two real-life image collections using SIFT and SURF local descriptors.
  • As the volume of non-textual data, such images and other multimedia data, available on Internet is increasing. The issue of identifying data items based on query containment rather than query equality is more and more important. In this paper, we propose a solution to this problem. We assume the local descriptors are extracted from data item, so the aforementioned problem reduces to finding data items of a collection that share as many as possible local descriptors with the query. In particular, we defined a new e-intersection that identifies close (similar) descriptors. Local descriptors usually contain the location of the descriptors in the original data, so the proposed solution takes into account them to increase effectiveness of searching. We evaluate the e-intersection on two real-life image collections using SIFT and SURF local descriptors. (en)
Title
  • Proximity-based Order-respecting Intersection for Searching in Image Databases
  • Proximity-based Order-respecting Intersection for Searching in Image Databases (en)
skos:prefLabel
  • Proximity-based Order-respecting Intersection for Searching in Image Databases
  • Proximity-based Order-respecting Intersection for Searching in Image Databases (en)
skos:notation
  • RIV/00216224:14330/10:00065883!RIV14-MSM-14330___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA201/09/0683), P(GAP103/10/0886), 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
  • 283202
http://linked.open...ai/riv/idVysledku
  • RIV/00216224:14330/10:00065883
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • proximity based order respecting intersection; sub image search; image database; experimental trials (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [F9C25B4707D4]
http://linked.open...v/mistoKonaniAkce
  • Linz
http://linked.open...i/riv/mistoVydani
  • Linz
http://linked.open...i/riv/nazevZdroje
  • 8th International Workshop on Adaptive Multimedia Retrieval, AMR'2010
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
  • Zezula, Pavel
  • Homola, Tomáš
  • Dohnal, Vlastislav
http://linked.open...vavai/riv/typAkce
http://linked.open...ain/vavai/riv/wos
  • 000306440900013
http://linked.open.../riv/zahajeniAkce
issn
  • 0302-9743
number of pages
http://bibframe.org/vocab/doi
  • 10.1007/978-3-642-27169-4
http://purl.org/ne...btex#hasPublisher
  • Johannes Kepler University
https://schema.org/isbn
  • 9783642271687
http://localhost/t...ganizacniJednotka
  • 14330
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