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An Ego-Centric and Tangible Approach to Meeting Indexing and Browsing

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Machine Learning for Multimodal Interaction (MLMI 2007)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4892))

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Abstract

This article presents an ego-centric approach for indexing and browsing meetings. The method considers two concepts: meetings’ data alignment with personal information to enable ego-centric browsing and live intentional annotation of meetings through tangible actions to enable ego-centric indexing. The article first motivates and introduces these concepts and further presents brief states-of-the-art of the domain of tangible user interaction, of document-centric multimedia browsing, a traditional tangible object to transport information, and of personal information management. The article then presents our approach in the context of meeting and details our methods to bridge the gap between meeting data and personal information. Finally the article reports the progress of the integration of this approach within Fribourg’s meeting room.

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Andrei Popescu-Belis Steve Renals Hervé Bourlard

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Lalanne, D., Evequoz, F., Rigamonti, M., Dumas, B., Ingold, R. (2008). An Ego-Centric and Tangible Approach to Meeting Indexing and Browsing. In: Popescu-Belis, A., Renals, S., Bourlard, H. (eds) Machine Learning for Multimodal Interaction. MLMI 2007. Lecture Notes in Computer Science, vol 4892. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78155-4_8

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  • DOI: https://doi.org/10.1007/978-3-540-78155-4_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-78154-7

  • Online ISBN: 978-3-540-78155-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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