Modeling latent discriminative dynamic of multi-dimensional affective signals

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6975 LNCS, Issue PART 2, 2011, Pages 396-406

  Ramirez, Geovany A ^a   Baltrušaitis, Tadas ^b   Morency, Louis Philippe ^c  

^a University of Texas at El Paso   (United States)

^b UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^c University of Southern California ^*  (United States)

Author keywords

audio visual emotion recognition; conditional random fields; latent variable models; multi modal fusion

Indexed keywords

AUDIO FEATURES; AUDIO-VISUAL; CONDITIONAL RANDOM FIELD; DATA SETS; EMOTION RECOGNITION; EMOTIONAL STATE; EYE-GAZE; FACE-TO-FACE COMMUNICATIONS; FACIAL EXPRESSIONS; LATENT VARIABLE MODELS; MULTI-MODAL FUSION; PERCEPTUAL FEATURE; SUB-STRUCTURES; VISUAL FEATURE; DYNAMIC CONDITIONAL RANDOM FIELDS; LINGUISTIC INFORMATION;

CONTENT BASED RETRIEVAL; DATA PROCESSING; IMAGE SEGMENTATION; INTELLIGENT COMPUTING; RANDOM PROCESSES;

FACE RECOGNITION; INTELLIGENT COMPUTING;

EID: 80054842861     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-24571-8_51     Document Type: Conference Paper

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