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  • We propose a self-organized content-based Image Retrieval Network (IRN) that is inspired by a Metric Social Network (MSN) search system. The proposed network model is strictly data-owner oriented so no data redistribution among peers is needed in order to efficiently process queries. Thus a shared database where each peer is fully in charge of its data, is created. The self-organization of the network is obtained by exploiting the social-network approach of the MSN -- the connections between peers in the network are created as social-network relationships formed on the basis of a query-answer principle. The knowledge of answers to previous queries is used to fast navigate to peers, possibly containing the best answers to new queries. Additionally, the network uses a randomized mechanism to explore new and unvisited parts of the network. In this way, the self-adaptability and robustness of the system are achieved.
  • We propose a self-organized content-based Image Retrieval Network (IRN) that is inspired by a Metric Social Network (MSN) search system. The proposed network model is strictly data-owner oriented so no data redistribution among peers is needed in order to efficiently process queries. Thus a shared database where each peer is fully in charge of its data, is created. The self-organization of the network is obtained by exploiting the social-network approach of the MSN -- the connections between peers in the network are created as social-network relationships formed on the basis of a query-answer principle. The knowledge of answers to previous queries is used to fast navigate to peers, possibly containing the best answers to new queries. Additionally, the network uses a randomized mechanism to explore new and unvisited parts of the network. In this way, the self-adaptability and robustness of the system are achieved. (en)
Title
  • Building Self-Organized Image Retrieval Network
  • Building Self-Organized Image Retrieval Network (en)
skos:prefLabel
  • Building Self-Organized Image Retrieval Network
  • Building Self-Organized Image Retrieval Network (en)
skos:notation
  • RIV/00216224:14330/08:00024257!RIV10-GA0-14330___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(1ET100300419), P(GP201/07/P240)
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
  • 358626
http://linked.open...ai/riv/idVysledku
  • RIV/00216224:14330/08:00024257
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • content-based image retrieval; peer-to-peer network; self-organized system; social networking (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [4EA9831C8367]
http://linked.open...v/mistoKonaniAkce
  • Napa, CA, USA
http://linked.open...i/riv/mistoVydani
  • USA
http://linked.open...i/riv/nazevZdroje
  • Proceeding of the 2008 ACM workshop on Large-Scale distributed systems for information retrieval (LSDS-IR'08)
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
  • Sedmidubský, Jan
  • Zezula, Pavel
  • Dohnal, Vlastislav
  • Bartoň, Stanislav
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • ACM New York
https://schema.org/isbn
  • 978-1-60558-254-2
http://localhost/t...ganizacniJednotka
  • 14330
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