Intelligent multimedia indexing and retrieval through multi-source information extraction and merging

Authors:
Jan Kuper;Horacio Saggion;Hamish Cunningham;Thierry Declerck;Franciska De Jong;Dennis Reidsma;Yorick Wilks;Peter Wittenburg
Affiliations:
Department of Computer Science, University of Twente, The Netherlands;Department of Computer Science, University of Sheffield, Sheffield, UK and Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands;Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands;Department of Computer Science, University of Sheffield, Sheffield, UK and DFKI GMbH, Saarbruecken, Germany;Department of Computer Science, University of Twente, The Netherlands;Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands;Department of Computer Science, University of Sheffield, Sheffield, UK and DFKI GMbH, Saarbruecken, Germany;Department of Computer Science, University of Twente, The Netherlands
Venue:
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Year:
2003

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Abstract

This paper reports work on automated meta-data creation for multimedia content. The approach results in the generation of a conceptual index of the content which may then be searched via semantic categories instead of keywords. The novelty of the work is to exploit multiple sources of information relating to video content (in this case the rich range of sources covering important sports events). News, commentaries and web reports covering international football games in multiple languages and multiple modalities is analysed and the resultant data merged. This merging process leads to increased accuracy relative to individual sources.