Affective Labeling in a Content-Based Recommender System for Images

Affective labeling of multimedia content has proved to be useful in recommender systems. In this paper we present a methodology for the implicit acquisition of affective labels for images. It is based on an emotion detection technique that takes as input the video sequences of the users' facial...

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Veröffentlicht in:	IEEE transactions on multimedia 2013-02, Vol.15 (2), p.391-400
Hauptverfasser:	Tkalcic, M., Odic, A., Kosir, A., Tasic, J.
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Affective labeling affective user modeling Applied sciences Artificial intelligence Computer science control theory systems Computer systems and distributed systems. User interface content-based recommender system emotion detection Emotions Exact sciences and technology facial expressions Feature extraction Information systems. Data bases Labeling Labels Low level Marking Memory organisation. Data processing Metadata Methodology Motion pictures Multimedia Multimedia communication Pattern recognition. Digital image processing. Computational geometry Recommender systems Software Streaming media Studies
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