Crowdsourcing for Affective Annotation of Video : Development of a Viewer-reported Boredom Corpus

@inproceedings{Soleymani2010CrowdsourcingFA,
  title={Crowdsourcing for Affective Annotation of Video : Development of a Viewer-reported Boredom Corpus},
  author={Mohammad Soleymani},
  year={2010}
}
Predictions of viewer affective response to video are an important source of information that can be used to enhance the performance of multimedia retrieval and recommendation systems. The development of algorithms for robust prediction of viewer affective response requires corpora accompanied by appropriate ground truth. We report on the development a new corpus to be used to evaluate algorithms for prediction of viewer-reported boredom. We make use of crowdsourcing in order to address two… CONTINUE READING
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