Heterogeneous Knowledge Transfer in Video Emotion Recognition, Attribution and Summarization

Emotion is a key element in user-generated video. However, it is difficult to understand emotions conveyed in such videos due to the complex and unstructured nature of user-generated content and the sparsity of video frames expressing emotion. In this paper, for the first time, we propose a techniqu...

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Veröffentlicht in:	IEEE transactions on affective computing 2018-04, Vol.9 (2), p.255-270
Hauptverfasser:	Baohan Xu, Yanwei Fu, Yu-Gang Jiang, Boyang Li, Sigal, Leonid
Format:	Artikel
Sprache:	eng
Schlagworte:	Emotion recognition Feature extraction Image recognition Knowledge management Knowledge transfer Object recognition Semantics summarization Training transfer learning User generated content Video data Video emotion recognition Visualization zero-shot learning
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