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020 _a9783642047930
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024 7 _a10.1007/978-3-642-04793-0
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050 4 _aTA1634
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072 7 _aCOM016000
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082 0 4 _a006
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245 1 0 _aMultimodal Corpora
_h[electronic resource] :
_bFrom Models of Natural Interaction to Systems and Applications /
_cedited by Michael Kipp, Jean-Claude Martin, Patrizia Paggio, Dirk Heylen.
250 _a1st ed. 2009.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2009.
300 _aX, 223 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v5509
505 0 _aCollecting and Distributing Multimodal Corpora -- The SmartWeb Corpora: Multimodal Access to the Web in Natural Environments -- Promoting free Dialog Video Corpora: The IFADV Corpus Example -- Coding and Analyzing Multimodal Corpora -- Creating and Exploiting Multimodal Annotated Corpora: The ToMA Project -- Multi-track Annotation of Child Language and Gestures -- Gesture, Gaze and Persuasive Strategies in Political Discourse -- Unsupervised Clustering in Multimodal Multiparty Meeting Analysis -- Validating Multimodal Corpora -- Multimodal Corpora Annotation: Validation Methods to Assess Coding Scheme Reliability -- On the Contextual Analysis of Agreement Scores -- The Intercultural Dimension of Multimodal Corpora -- Creating Standardized Video Recordings of Multimodal Interactions across Cultures -- Multimodal Intercultural Information and Communication Technology - A Framework for Designing and Evaluating Multimodal Intercultural Communicators -- Tools for Browsing, Coding and Exchanging Data in Multimodal Corpora -- Tools and Resources for Visualising Conversational-Speech Interaction -- Accessing a Large Multimodal Corpus Using an Automatic Content Linking Device -- An Exchange Format for Multimodal Annotations.
520 _aEmpirically based research in multimodality starts with the collection of 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. At the same time, the intercultural dimension must be taken into account, since multimodal interaction is always embedded in a social setting. 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 current research from fields as diverse as psychology, artificial intelligence, robotics, signal processing, computational linguistics, and human-computer interaction. 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.
650 0 _aImage processing
_xDigital techniques.
_94145
650 0 _aComputer vision.
_9138297
650 0 _aNatural language processing (Computer science).
_94741
650 0 _aComputer graphics.
_94088
650 0 _aPattern recognition systems.
_93953
650 0 _aBiometric identification.
_911407
650 1 4 _aComputer Imaging, Vision, Pattern Recognition and Graphics.
_931569
650 2 4 _aNatural Language Processing (NLP).
_931587
650 2 4 _aComputer Vision.
_9138298
650 2 4 _aComputer Graphics.
_94088
650 2 4 _aAutomated Pattern Recognition.
_931568
650 2 4 _aBiometrics.
_932763
700 1 _aKipp, Michael.
_eeditor.
_4edt
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_9138299
700 1 _aMartin, Jean-Claude.
_eeditor.
_4edt
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_9138300
700 1 _aPaggio, Patrizia.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9138301
700 1 _aHeylen, Dirk.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9138302
710 2 _aSpringerLink (Online service)
_9138303
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783642047923
776 0 8 _iPrinted edition:
_z9783642047947
830 0 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
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856 4 0 _uhttps://doi.org/10.1007/978-3-642-04793-0
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