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Content-based annotation and classification framework: a general multi-purpose approach

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F13%3A00065734" target="_blank" >RIV/00216224:14330/13:00065734 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1145/2513591.2513651" target="_blank" >http://dx.doi.org/10.1145/2513591.2513651</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1145/2513591.2513651" target="_blank" >10.1145/2513591.2513651</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Content-based annotation and classification framework: a general multi-purpose approach

  • Original language description

    Unprecedented amounts of digital data are becoming available nowadays, but frequently the data lack some semantic information necessary to effectively organize these resources. For images in particular, textual annotations that represent the semantics are highly desirable. Only a small percentage of images is created with reliable annotations, therefore a lot of effort is being invested into automatic image annotation. In this paper, we address the annotation problem from a general perspective and introduce a new annotation model that is applicable to many text assignment problems. We also provide experimental results from several implemented instances of our model.

  • 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

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

Others

  • Publication year

    2013

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceedings of the 17th International Database Engineering &amp; Applications Symposium

  • ISBN

    9781450320252

  • ISSN

  • e-ISSN

  • Number of pages

    10

  • Pages from-to

    58-67

  • Publisher name

    ACM

  • Place of publication

    New York, NY, USA

  • Event location

    Barcelona, Spain

  • Event date

    Jan 1, 2013

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article