MICO - Media in Context

The abundance of digital content requires cost-effective technologies to extract the hidden meaning from media objects. However, current approaches fail to deal with the challenges related to cross-media analysis, metadata publishing, querying and recommendation that are necessary to overcome this c...

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Bibliographic Details
Published in2015 IEEE International Conference on Multimedia & Expo Workshops (ICMEW) pp. 1 - 4
Main Authors Aichroth, Patrick, Weigel, Christian, Kurz, Thomas, Stadler, Horst, Drewes, Frank, Bjorklund, Johanna, Schlegel, Kai, Berndl, Emanuel, Perez, Antonio, Bowyer, Alex, Volpini, Andrea
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2015
Subjects
Analytical models
Context
Cross-Media Analysis
Data mining
Feature extraction
Information Extraction
Media
Metadata
Open Source
Semantic Web
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Summary:The abundance of digital content requires cost-effective technologies to extract the hidden meaning from media objects. However, current approaches fail to deal with the challenges related to cross-media analysis, metadata publishing, querying and recommendation that are necessary to overcome this challenge. In this paper, we describe the EU project MICO (Media in Context) which aims to provide the necessary technologies based on open-source software (OSS) core components.
DOI:10.1109/ICMEW.2015.7169827