Community Research and Development Information Service - CORDIS

FP6

Multimedia Understanding through Semantics, Computation and Learning - MUSCLE, Final Project Report

Project ID: 507752
Funded under: FP6-IST

Abstract

MUSCLE aims at creating and supporting a pan-European Network of Excellence to foster close collaboration between research groups in multimedia data-mining and machine learning in order to make breakthrough progress towards the following objectives:
- Harnessing the full potential of machine learning and cross-modal interaction for the (semi-)automatic generation of meta-data with high semantic content for multimedia documents.
- Applying machine learning for the creation of expressive, context-aware, selflearning, and human-centred inter faces that will be able to effectively assist users in the exploration of complex and rich multimedia content.
- Improving interoperability and exchangeability of heterogeneous and distributed (meta)data by enabling data descriptions of high semantic content (e.g. ontologies, MPEG7 and XML schemata) and inference schemes that can reason about these at the appropriate levels.

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Record Number: 9040 / Last updated on: 2008-04-03
Category: MISC
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