Detail publikačního výsledku

Efficient Media Exploitation Towards Collective Intelligence

AVRITHIS, Y.; MYLONAS, P.; SOLACHIDIS, V.; GEYER-SCHULTZ, A.; HOSER, B.; CHAPMAN, S.; CIRAVEGNA, F.; STAAB, S.; SMRŽ, P.; KOMPATSIARIS, Y.

Originální název

Efficient Media Exploitation Towards Collective Intelligence

Anglický název

Efficient Media Exploitation Towards Collective Intelligence

Druh

Kapitola, resp. kapitoly v odborné knize

Originální abstrakt

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
competition among 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
information from both the content itself and the social context,
while at the same time the social dynamics have to be taken into
account. Such intelligence provides added-value to the available
multimedia content and renders existing procedures and research
efforts more efficient.

Anglický abstrakt

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
competition among 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
information from both the content itself and the social context,
while at the same time the social dynamics have to be taken into
account. Such intelligence provides added-value to the available
multimedia content and renders existing procedures and research
efforts more efficient.

Klíčová slova

Collective intelligence; Media intelligence; Social media

Klíčová slova v angličtině

Collective intelligence; Media intelligence; Social media

Autoři

AVRITHIS, Y.; MYLONAS, P.; SOLACHIDIS, V.; GEYER-SCHULTZ, A.; HOSER, B.; CHAPMAN, S.; CIRAVEGNA, F.; STAAB, S.; SMRŽ, P.; KOMPATSIARIS, Y.

Rok RIV

2016

Vydáno

01.01.2010

Nakladatel

Springer Verlag

Místo

Berlin

ISBN

978-3-642-01043-9

Kniha

Advances in Data Analysis, Data Handling and Business Intelligence

Edice

Studies in Classification, Data Analysis, and Knowledge Organization

Strany od

723

Strany do

732

Strany počet

10

BibTex

@inbook{BUT55356,
  author="Yannis {Avrithis} and Phivos {Mylonas} and Vassilios {Solachidis} and Andreas {Geyer-Schultz} and Betina {Hoser} and Sam {Chapman} and Fabio {Ciravenga} and Stefen {Staab} and Pavel {Smrž} and Yiannis {Kompatsiaris}",
  title="Efficient Media Exploitation Towards Collective Intelligence",
  booktitle="Advances in Data Analysis, Data Handling and Business Intelligence",
  year="2010",
  publisher="Springer Verlag",
  address="Berlin",
  series="Studies in Classification, Data Analysis, and Knowledge Organization",
  pages="723--732",
  isbn="978-3-642-01043-9"
}