A protocol for cross-validating large crowdsourced data: The case of the LIRIS-ACCEDE affective video dataset

CrowdMM 2014 - Proceedings of the International Workshop on Crowdsourcing for Multimedia, Workshop of MM 2014

Volumn , Issue , 2014, Pages 3-8

  Baveye, Yoann ^a,b   Chamaret, Christel ^a   Dellandréa, Emmanuel ^b   Chen, Liming ^b  

^a Université de Lyon ^*  (France)

^b ECOLE CENTRALE DE LYON   (France)

Author keywords

Affective computing; Affective video datasets; Crowdsourced annotations; Experimental validation; Interrater reliability

Indexed keywords

CROWDSOURCING; RELIABILITY ANALYSIS;

AFFECTIVE COMPUTING; CROWDSOURCED ANNOTATIONS; EXPERIMENTAL VALIDATIONS; INTER-RATER RELIABILITIES; VIDEO DATASETS;

LARGE DATASET;

EID: 84915819327     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2660114.2660115     Document Type: Conference Paper

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