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  • The quadratic form distance (QFD) has been utilized as an e ective similarity function in multimedia retrieval, in particular, when a histogram representation of objects is used. Unlike the widely used Euclidean distance, the QFD allows to arbitrarily correlate the histogram bins (dimensions), allowing thus to better model the similarity between histograms. However, unlike Euclidean distance, which is of linear time complexity, the QFD requires quadratic time to evaluate the similarity of two objects. In consequence, indexing and querying a database under QFD are expensive operations. In this paper we show that, given static correlations between dimensions, the QFD space can be transformed into an equivalent Euclidean space. Thus, the overall complexity of indexing and searching in the QFD similarity model can be reduced qualitatively.
  • The quadratic form distance (QFD) has been utilized as an e ective similarity function in multimedia retrieval, in particular, when a histogram representation of objects is used. Unlike the widely used Euclidean distance, the QFD allows to arbitrarily correlate the histogram bins (dimensions), allowing thus to better model the similarity between histograms. However, unlike Euclidean distance, which is of linear time complexity, the QFD requires quadratic time to evaluate the similarity of two objects. In consequence, indexing and querying a database under QFD are expensive operations. In this paper we show that, given static correlations between dimensions, the QFD space can be transformed into an equivalent Euclidean space. Thus, the overall complexity of indexing and searching in the QFD similarity model can be reduced qualitatively. (en)
Title
  • On (not) indexing quadratic form distance by metric access methods
  • On (not) indexing quadratic form distance by metric access methods (en)
skos:prefLabel
  • On (not) indexing quadratic form distance by metric access methods
  • On (not) indexing quadratic form distance by metric access methods (en)
skos:notation
  • RIV/00216208:11320/11:10057149!RIV12-MSM-11320___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM0021620838)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
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http://linked.open...dnocenehoVysledku
  • 218084
http://linked.open...ai/riv/idVysledku
  • RIV/00216208:11320/11:10057149
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • methods; access; metric; distance; form; quadratic; indexing; (not) (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [E6C2DAED941B]
http://linked.open...v/mistoKonaniAkce
  • Hannover, Germany
http://linked.open...i/riv/mistoVydani
  • New York, NY, USA
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the 14th International Conference on Extending Database Technology
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Lokoč, Jakub
  • Skopal, Tomáš
  • Bartoš, Tomáš
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://bibframe.org/vocab/doi
  • 10.1145/1951365.1951396
http://purl.org/ne...btex#hasPublisher
  • ACM
https://schema.org/isbn
  • 978-1-4503-0528-0
http://localhost/t...ganizacniJednotka
  • 11320
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