In this paper, the authors focused on utilizing crowdsourcing for
the problem of predictions of viewer affective response to video in order to enhance the performance of multimedia retrieval and recommendation systems. They reported on the development of a new corpus to be used to evaluate algorithms for prediction of viewer reported boredom. When preparing the corpus, they made use of crowdsourcing in order to
address two shortcomings of previous affective video corpora: small number of annotators and gap between annotators and target viewer group.
This paper was the runner-up for the Most Innovative Paper Award, carrying a $100 cash prize sponsored Microsoft Bing.
Founded in 2010, the industry website, Crowdsourcing.org, is a neutral organization dedicated solely
to crowdsourcing and crowdfunding. As one of the most influential and credible authorities in the crowdsourcing space,
Crowdsourcing.org is recognized worldwide for its intellectual capital, crowdsourcing and crowdfunding
practice expertise and unbiased thought leadership.