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Improving the Image Retrieval System by Ranking

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F10%3A00044842" target="_blank" >RIV/00216224:14330/10:00044842 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Improving the Image Retrieval System by Ranking

  • Original language description

    This demonstration paper presents an image retrieval system that allows to bridge the semantic gap by combining visual and text ranking on a large collection of 8 million images. We present several ranking methods including user relevance feedback. The demonstration is available as online web application.

  • 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

    3rd International Conference on Similarity Search and Applications (SISAP 2010)

  • ISBN

    978-1-4503-0420-7

  • ISSN

  • e-ISSN

  • Number of pages

    2

  • Pages from-to

  • Publisher name

    ACM Press

  • Place of publication

    New York

  • Event location

    Istanbul, Turkey

  • Event date

    Sep 18, 2010

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article