Book chapter
Open access

Highlights Detection in Movie Scenes Through Inter-Users Physiological Linkage

Published inSocial media retrieval, Editors N. Ramzan and R. van Zwol and J.-S Lee and K. Clüver and X.-S Hua
Publication date2013

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%.

Citation (ISO format)
CHENES, Christophe et al. Highlights Detection in Movie Scenes Through Inter-Users Physiological Linkage. In: Social media retrieval. [s.l.] : Springer, 2013. doi: 10.1007/978-1-4471-4555-4_10
Main files (1)
Book chapter (Accepted version)

Technical informations

Creation03/06/2015 5:12:03 PM
First validation03/06/2015 5:12:03 PM
Update time03/14/2023 10:58:09 PM
Status update03/14/2023 10:58:08 PM
Last indexation08/29/2023 3:07:56 PM
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