Predicting the conflict level in television political debates: An approach based on crowdsourcing, nonverbal communication and Gaussian processes

MM 2012 - Proceedings of the 20th ACM International Conference on Multimedia

Volumn , Issue , 2012, Pages 793-796

  Kim, Samuel ^a   Filippone, Maurizio ^b   Valente, Fabio ^a   Vinciarelli, Alessandro ^a,b  

^a IDIAP RESEARCH INSTITUTE   (Switzerland)

^b UNIVERSITY OF GLASGOW   (United Kingdom)

Author keywords

conflict; multimedia indexing; nonverbal vocal behavior; social signal processing

Indexed keywords

AUTOMATIC DETECTION; BEHAVIORAL CUES; CONFLICT; CROWDSOURCING; GAUSSIAN PROCESSES; MULTIMEDIA INDEXING; NON-VERBAL COMMUNICATIONS; POLITICAL DEBATES; RECENT TRENDS; REGRESSION TECHNIQUES; VOCAL BEHAVIOR;

COMMUNICATION; GAUSSIAN DISTRIBUTION; INDEXING (OF INFORMATION); SIGNAL PROCESSING;

GAUSSIAN NOISE (ELECTRONIC);

EID: 84871389667     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2393347.2396314     Document Type: Conference Paper

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