Understanding Affective Content of Music Videos through Learned Representations

@inproceedings{Acar2014UnderstandingAC,
  title={Understanding Affective Content of Music Videos through Learned Representations},
  author={Esra Acar and Frank Hopfgartner and Sahin Albayrak},
  booktitle={MMM},
  year={2014}
}
In consideration of the ever-growing available multimedia data, annotating multimedia content automatically with feeling(s) expected to arise in users is a challenging problem. In order to solve this problem, the emerging research field of video affective analysis aims at exploiting human emotions. In this field where no dominant feature representation has emerged yet, choosing discriminative features for the effective representation of video segments is a key issue in designing video affective… CONTINUE READING
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