Affective Meeting Video Analysis
2005 IEEE International Conference on Multimedia and Expo (ICME), Vols 1 and 2(2005)
摘要
In this paper we examine the affective content of meeting videos. First we asked five subjects to manually label three meeting videos using continuous response measurement (continuous-scale labeling in real-time) for energy and valence (the two dimensions of the human affect space). Then we automatically extracted audio-visual features to characterize the affective content of the videos. We compare the results of manual labeling and low-level automatic audiovisual feature extraction. Our analysis yields promising results, which suggest that affective meeting video analysis can lead to very interesting, observations useful for automatic indexing.
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关键词
labeling,feature extraction,speech recognition,real time,psychology,tv,two dimensions,automatic speech recognition,indexing
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