Book chapter (Author postprint) (305 Kb) - 
Free accessOther version: http://link.springer.com/chapter/10.1007%2F978-1-4471-4555-4_10
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Book Chapter
unige:47618 
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Highlights Detection in Movie Scenes Through Inter-Users Physiological Linkage |
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| Authors | ||
| Published in | N. Ramzan and R. van Zwol and J.-S Lee and K. Clüver and X.-S Hua. Social media retrieval: Springer. 2013 | |
| Abstract | Automatic summarization techniques facilitate multimedia indexing and access by reducing the content of a given item to its essential parts. However, novel approaches for summarization should be developed since existing methods cannot offer a general and unobtrusive solution. Considering that the consumption of multimedia data is more and more social, we propose to use a physiological index of social interaction, namely, physiological linkage, to determine general highlights of videos. The proposed method detects highlights which are relevant to the majority of viewers without requiring them any conscious effort. Experimental testing has demonstrated the validity of the proposed system which obtained a classification accuracy of up to 78.2%. | |
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Book chapter (Author postprint) (305 Kb) - Free access Other version: http://link.springer.com/chapter/10.1007%2F978-1-4471-4555-4_10 |
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| Structures | ||
| Research groups | Affective sciences Computer Vision and Multimedia Laboratory Multimodal Interaction Group | |
| Citation (ISO format) | CHENES, Christophe et al. Highlights Detection in Movie Scenes Through Inter-Users Physiological Linkage. In: N. Ramzan and R. van Zwol and J.-S Lee and K. Clüver and X.-S Hua (Ed.). Social media retrieval. [s.l.] : Springer, 2013. https://archive-ouverte.unige.ch/unige:47618 |
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