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The number of video clips available online is growing at a tremendous pace. Meanwhile, the video scenes of pornography, violence and horror permeate the whole Web. Horror videos, whose threat to children's health is no less than pornographic video, are sometimes neglected by existing Web filtering tools. Consequently, an effective horror video filtering tool is necessary for preventing children from...
We present a bimodal information analysis system for automatic emotion recognition. Our approach is based on the analysis of video sequences which combines facial expressions observed visually with acoustic features to automatically recognize five universal emotion classes: anger, disgust, happiness, sadness and surprise. We address the challenges posed during the temporal analysis of the bimodal...
Emotion modeling evoked by natural scenes is challenging issue. In this paper, we propose a novel scheme for analyzing the emotion reflected by a natural scene, considering the human emotional status. Based on the concept of original GIST, we developed the fuzzy-GIST to build the emotional feature space. According to the relationship between emotional factors and the characters of image, L*C*H* color...
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