About: Feedback-based Performance Tuning for Self-organizing Multimedia Retrieval Systems     Goto   Sponge   NotDistinct   Permalink

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Description
  • We concentrate on content-based retrieval in unstructured P2P networks consisting of thousands of peers that unpredictably join and leave the network. Such environments with permanent churning of peers require self-organizing mechanisms that should deal with sudden peer failures, arrivals of new peers, and continual changes of data or network topology. In this paper, we propose a self-organizing search system that operates in an unstructured P2P network and allows users to search for multimedia data by their content. The peers are interconnected by relationships established according to answers returned to queries. In order to select appropriate relationships for query forwarding, we define and evaluate a new adaptive routing algorithm. The routing algorithm is influenced by automatically evaluated feedback, so the system does not need any user intervention. The experiments are evaluated on a real-life image data set.
  • We concentrate on content-based retrieval in unstructured P2P networks consisting of thousands of peers that unpredictably join and leave the network. Such environments with permanent churning of peers require self-organizing mechanisms that should deal with sudden peer failures, arrivals of new peers, and continual changes of data or network topology. In this paper, we propose a self-organizing search system that operates in an unstructured P2P network and allows users to search for multimedia data by their content. The peers are interconnected by relationships established according to answers returned to queries. In order to select appropriate relationships for query forwarding, we define and evaluate a new adaptive routing algorithm. The routing algorithm is influenced by automatically evaluated feedback, so the system does not need any user intervention. The experiments are evaluated on a real-life image data set. (en)
Title
  • Feedback-based Performance Tuning for Self-organizing Multimedia Retrieval Systems
  • Feedback-based Performance Tuning for Self-organizing Multimedia Retrieval Systems (en)
skos:prefLabel
  • Feedback-based Performance Tuning for Self-organizing Multimedia Retrieval Systems
  • Feedback-based Performance Tuning for Self-organizing Multimedia Retrieval Systems (en)
skos:notation
  • RIV/00216224:14330/10:00043542!RIV11-GA0-14330___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA201/09/0683), P(GD102/09/H042), 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
  • 258931
http://linked.open...ai/riv/idVysledku
  • RIV/00216224:14330/10:00043542
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • self-organizing system; feedback; similarity search; multimedia retrieval (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [3E5689F02B23]
http://linked.open...v/mistoKonaniAkce
  • Athens/Glyfada, Greece
http://linked.open...i/riv/mistoVydani
  • Los Alamitos, CA 90720-1314
http://linked.open...i/riv/nazevZdroje
  • International Conference on Advances in Multimedia (MMEDIA 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
  • Sedmidubský, Jan
  • Zezula, Pavel
  • Dohnal, Vlastislav
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • IEEE Computer Society
https://schema.org/isbn
  • 978-0-7695-4068-9
http://localhost/t...ganizacniJednotka
  • 14330
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