Multimodal Corpora From Models of Natural Interaction to Systems and Applications /

Empirically 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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Kipp, Michael (Επιμελητής έκδοσης), Martin, Jean-Claude (Επιμελητής έκδοσης), Paggio, Patrizia (Επιμελητής έκδοσης), Heylen, Dirk (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2009.
Σειρά:Lecture Notes in Computer Science, 5509
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Collecting 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.