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We propose a semi-automated, eye-gaze based method for affective analysis of videos. Pupillary Dilation (PD) is introduced as a valuable behavioural signal for assessment of subject arousal and engagement. We use PD information for computationally inexpensive, arousal based composition of video summaries and descriptive story-boards. Video summarization and story-board generation is done offline,...
This research proposes a model of the multidimensional metadata generation approach for detecting human action in video. The idea is to develop a multidimensional multimodal framework, which will use a semantic approach on the action recognition and classification level. The main idea of the model is the inputs/outputs in the model will be the results of recognition processes from different modalities...
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