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Description
  • The data-explosion phenomenon can be observed in two distinct respects: (1) The volume of data produced is increasing rapidly and (2) new data types appear and are widely used. This calls for development of brand new indexing and searching methods which would be efficient on huge amounts of data and respect the needs of the recent data types. This paper describes a transfer of our previous theoretical results into practice by building a fully functional application. The application is able to efficiently manage large collections of digital images and search these images according to their content. Its distributed architecture is based on the peer-to-peer paradigm and the searching method adopts the metric-based approach to similarity. Currently the application can store and search tens of millions of images crawled from the Web with dozens of simultaneous users, although it runs on a limited hardware infrastructure.
  • The data-explosion phenomenon can be observed in two distinct respects: (1) The volume of data produced is increasing rapidly and (2) new data types appear and are widely used. This calls for development of brand new indexing and searching methods which would be efficient on huge amounts of data and respect the needs of the recent data types. This paper describes a transfer of our previous theoretical results into practice by building a fully functional application. The application is able to efficiently manage large collections of digital images and search these images according to their content. Its distributed architecture is based on the peer-to-peer paradigm and the searching method adopts the metric-based approach to similarity. Currently the application can store and search tens of millions of images crawled from the Web with dozens of simultaneous users, although it runs on a limited hardware infrastructure. (en)
Title
  • Scaling up the Image Content-based Retrieval
  • Scaling up the Image Content-based Retrieval (en)
skos:prefLabel
  • Scaling up the Image Content-based Retrieval
  • Scaling up the Image Content-based Retrieval (en)
skos:notation
  • RIV/00216224:14330/07:00019500!RIV10-GA0-14330___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(1ET100300419), P(GD102/05/H050)
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
  • 448955
http://linked.open...ai/riv/idVysledku
  • RIV/00216224:14330/07:00019500
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • similarity search; scalability; MPEG-7; image database (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [276E827954DC]
http://linked.open...v/mistoKonaniAkce
  • Pisa, Italy
http://linked.open...i/riv/mistoVydani
  • Pisa, Italy
http://linked.open...i/riv/nazevZdroje
  • Second DELOS Conference - Working Notes
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
  • Novák, David
  • Batko, Michal
  • Zezula, Pavel
  • Dohnal, Vlastislav
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • DELOS Network of Excellence
https://schema.org/isbn
  • 2-912335-36-1
http://localhost/t...ganizacniJednotka
  • 14330
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