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Efficient Media Exploitation Towards Collective Intelligence

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F10%3APU82658" target="_blank" >RIV/00216305:26230/10:PU82658 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Efficient Media Exploitation Towards Collective Intelligence

  • Original language description

    In this work we propose intelligent, automated content analysis techniques for different media to extract knowledge from the multimedia content. Information derived from different sources/modalities will be analyzed and fused, in terms of spatiotemporal,personal and even social contextual information. In order to achieve this goal, semantic analysis will be applied to the content items, taking into account the content itself (e.g. text, images and video), as well as existing personal, social and contextual information (e.g. semantic and machine-processable metadata and tags). The above process exploits the so-called "Media Intelligence" towards the ultimate goal of identifying "Collective Intelligence", emerging from the collaboration and competitionamong people, empowering innovative services and user interactions. The utilization of "Media Intelligence" constitutes a departure from traditional methods for information sharing, since semantic multimedia analysis has to fuse informati

  • Czech name

  • Czech description

Classification

  • Type

    C - Chapter in a specialist book

  • CEP classification

    JC - Computer hardware and software

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2010

  • Confidentiality

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

Data specific for result type

  • Book/collection name

    Advances in Data Analysis, Data Handling and Business Intelligence

  • ISBN

    978-3-642-01043-9

  • Number of pages of the result

    10

  • Pages from-to

    723-732

  • Number of pages of the book

    1000

  • Publisher name

    Springer Verlag

  • Place of publication

    Berlin

  • UT code for WoS chapter