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Multi-modal Similarity Retrieval with a Shared Distributed Data Store

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F15%3A00081206" target="_blank" >RIV/00216224:14330/15:00081206 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1007/978-3-319-16868-5_3" target="_blank" >http://dx.doi.org/10.1007/978-3-319-16868-5_3</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-319-16868-5_3" target="_blank" >10.1007/978-3-319-16868-5_3</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Multi-modal Similarity Retrieval with a Shared Distributed Data Store

  • Original language description

    We propose a generic system architecture for large-scale similarity search in various types of digital data. The architecture combines contemporary highly-scalable distributed data stores with recent efficient similarity indexes and also with other typesof search indexes. The system is designed to provide several types of queries ? distance-based similarity queries, term-based queries, attribute queries, and advanced queries combining several search aspects (modalities). The first part of this work isdevoted to the generic architecture and to description of a similarity index PPP-Codes that is suitable for our system. In the second part, we describe a specific instance of this architecture that manages a 106 million image collection providing content-based visual search, keyword search, attribute-based access, and their combinations.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GBP103%2F12%2FG084" target="_blank" >GBP103/12/G084: Center for Large Scale Multi-modal Data Interpretation</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2015

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Scalable Information Systems: 5th International Conference, INFOSCALE 2014, Seoul, South Korea, September 25-26, 2014, Revised Selected Papers

  • ISBN

    9783319168678

  • ISSN

    1867-8211

  • e-ISSN

  • Number of pages

    10

  • Pages from-to

    28-37

  • Publisher name

    Springer International Publishing

  • Place of publication

    New York

  • Event location

    Seoul, South Korea

  • Event date

    Jan 1, 2014

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article