Extracting moods from pictures and sounds: towards truly personalized TV

@article{Hanjalic2006ExtractingMF,
  title={Extracting moods from pictures and sounds: towards truly personalized TV},
  author={Alan Hanjalic},
  journal={IEEE Signal Processing Magazine},
  year={2006},
  volume={23},
  pages={90-100}
}
This paper considers how we feel about the content we see or hear. As opposed to the cognitive content information composed of the facts about the genre, temporal content structures and spatiotemporal content elements, we are interested in obtaining the information about the feelings, emotions, and moods evoked by a speech, audio, or video clip. We refer to the latter as the affective content, and to the terms such as happy or exciting as the affective labels of an audiovisual signal. In the… CONTINUE READING
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