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On Building a Self-organizing Search System for Multimedia Retrieval

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F10%3A00043373" target="_blank" >RIV/00216224:14330/10:00043373 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    On Building a Self-organizing Search System for Multimedia Retrieval

  • Original language description

    In this paper, we build a self-organizing search system that operates in an unstructured P2P network and allows users to search for multimedia data by their content. In order to efficiently route queries to relevant peers, we define and evaluate severaltechniques for joining new peers to the existing network. These techniques create new relationships between peers --- on the basis of answers returned to queries --- so that a new peer will be able to efficiently forward queries and other peers will be immediately informed about its data. In addition, we demonstrate resilience of the system to sudden peer failures by studying system performance and quality of returned answers after a large number of peers is disconnected. The experiments, evaluated on asynthetic and real-life multimedia dataset, confirm that proposed techniques are suitable for dynamic environments.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2010

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    International Workshop on Multimedia and Semantic Technologies (MUST 2010)

  • ISBN

    978-1-4244-6949-9

  • ISSN

  • e-ISSN

  • Number of pages

    7

  • Pages from-to

  • Publisher name

    IEEE Computer Society

  • Place of publication

    Red Hook, NY 12571, USA

  • Event location

    Busan, Korea

  • Event date

    May 20, 2010

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article