LEADER 06163nam 22007695 450 001 996465335103316 005 20200703154343.0 010 $a3-642-04793-9 024 7 $a10.1007/978-3-642-04793-0 035 $a(CKB)1000000000784744 035 $a(SSID)ssj0000319081 035 $a(PQKBManifestationID)11245313 035 $a(PQKBTitleCode)TC0000319081 035 $a(PQKBWorkID)10336320 035 $a(PQKB)11433789 035 $a(DE-He213)978-3-642-04793-0 035 $a(MiAaPQ)EBC3064606 035 $a(PPN)139959009 035 $a(EXLCZ)991000000000784744 100 $a20100301d2009 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aMultimodal Corpora$b[electronic resource] $eFrom Models of Natural Interaction to Systems and Applications /$fedited by Michael Kipp, Jean-Claude Martin, Patrizia Paggio, Dirk Heylen 205 $a1st ed. 2009. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2009. 215 $a1 online resource (X, 223 p.) 225 1 $aLecture Notes in Artificial Intelligence ;$v5509 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-642-04792-0 320 $aIncludes bibliographical references and index. 327 $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. 330 $aEmpirically based research in multimodality starts with the collection of video data relevant for a specific research question. This data must then be enriched by human coders, who annotate the corpus and who also explore the potential interconnections between modalities (e.g., face, gesture, speech, posture, etc.). The data must then be validated for consistency using quantitative measures -- systematic analysis of the observed multimodal behaviors is the central characteristic of multimodal corpora. For analysis and modeling tasks, exploratory qualitative and quantitative analysis tools are needed for browsing, viewing, extraction, and modeling. At the same time, the intercultural dimension must be taken into account, since multimodal interaction is always embedded in a social setting. This state-of-the-art survey documents the scientific outcome of the International Workshop on "Multimodal Corpora: From Models of Natural Interaction to Systems and Applications", held in conjunction with the 6th International Conference for Language Resources and Evaluation (LREC), on May 27, 2008, in Marrakech, Morocco. It presents current research from fields as diverse as psychology, artificial intelligence, robotics, signal processing, computational linguistics, and human-computer interaction. The 6 selected workshop contributions are complemented by 7 invited research articles, including contributions from major international multimodal corpus projects like AMI and SmartWeb. All papers underwent a special review process for this volume, resulting in significant revisions and extensions based on the experts' advice. 410 0$aLecture Notes in Artificial Intelligence ;$v5509 606 $aOptical data processing 606 $aNatural language processing (Computer science) 606 $aComputer graphics 606 $aPattern recognition 606 $aBiometrics (Biology) 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics$3https://scigraph.springernature.com/ontologies/product-market-codes/I22005 606 $aNatural Language Processing (NLP)$3https://scigraph.springernature.com/ontologies/product-market-codes/I21040 606 $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021 606 $aComputer Graphics$3https://scigraph.springernature.com/ontologies/product-market-codes/I22013 606 $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X 606 $aBiometrics$3https://scigraph.springernature.com/ontologies/product-market-codes/I22040 615 0$aOptical data processing. 615 0$aNatural language processing (Computer science). 615 0$aComputer graphics. 615 0$aPattern recognition. 615 0$aBiometrics (Biology). 615 14$aComputer Imaging, Vision, Pattern Recognition and Graphics. 615 24$aNatural Language Processing (NLP). 615 24$aImage Processing and Computer Vision. 615 24$aComputer Graphics. 615 24$aPattern Recognition. 615 24$aBiometrics. 676 $a410.1/88 702 $aKipp$b Michael$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMartin$b Jean-Claude$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aPaggio$b Patrizia$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aHeylen$b Dirk$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a996465335103316 996 $aMultimodal Corpora$9773678 997 $aUNISA