Predicting Emotions in User-Generated Videos

  title={Predicting Emotions in User-Generated Videos},
  author={Yu-Gang Jiang and Baohan Xu and Xiangyang Xue},
User-generated video collections are expanding rapidly in recent years, and systems for automatic analysis of these collections are in high demands. While extensive research efforts have been devoted to recognizing semantics like “birthday party” and “skiing”, little attempts have been made to understand the emotions carried by the videos, e.g., “joy” and “sadness”. In this paper, we propose a comprehensive computational framework for predicting emotions in user-generated videos. We first… CONTINUE READING
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