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Programming Multimodal Corpor: From Models of Natural Interaction to Systems and Applications

Posted on 2010-03-16




Name:Programming Multimodal Corpor: From Models of Natural Interaction to Systems and Applications
ASIN/ISBN:3642047920
Language:English
File size:6.72 Mb
Publisher: Springer
Publish Date: 2009
Pages: 223 Pages
ISBN: 3642047920
File Type: PDF
File Size: 6.72 MB
   Programming Multimodal Corpor: From Models of Natural Interaction to Systems and Applications

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Multimodal Corpor: From Models of Natural Interaction to Systems and Applications

By Michael Kipp, Jean-Claude Martin, Patrizia Paggio, Dirk Heylen


& 8220;This state-of-the-art-survey documents the scientific outcome of the International Workshop on "Multimodal Corpora: From Models of Natural Interaction to Systems and Applications", held in conjunction with the 6th International Conference for Language Resources and Evaluation (LREC) on May 27, 2008, in Marrakech, Morocco. It presents an introduction to, as well as current research from fields as diverse as psychology, artificial intelligence, robotics, signal processing, computational linguistics and human-computer interaction.

Empirically based research in multimodality starts with collecting video data relevant for a specific research question, this data must then be enriched by human coders, who annotate the corpus and who also explore the potential interconnections between modalities (e.g. face, gesture, speech, posture etc.). The data must then be validated for consistency using quantitative measures - systematic analysis of the observed multimodal behaviors is the central characteristic of multimodal corpora. For analysis and modeling tasks, exploratory qualitative and quantitative analysis tools are needed for browsing, viewing, extraction and modeling. All the time the intercultural dimension must be taken into account, since multimodal interaction is always embedded in a social setting.

The 6 selected workshop contributions are complemented by 7 invited research articles, including contributions from major international multimodal corpus projects like AMI and SmartWeb. All papers underwent a special review process for this volume, resulting in significant revisions and extensions based on the experts' advice.

& 8221;

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