Pallavi Raiturkar

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Predicting the exciting portions of a video is a widely relevant problem because of applications such as video summarization, searching for similar videos, and recommending videos to users. Researchers have proposed the use of physiological indices such as pupillary dilation as a measure of emotional arousal. The key problem with using the pupil to measure(More)
Affective annotation of videos is important for video understanding, ranking, retrieval, and summarization. We present an approach that uses excerpts that appeared in the official trailers of movies, as training data. Total scan path is computed as a metric for emotional arousal, based on previous eye tracking research. Arousal level on trailer excerpts is(More)
Digital media, particularly pictures and videos, have long been used to influence a person's cognition as well as her consequent actions. Previous work has shown that physiological indices such as heart rate variability can be used to measure emotional arousal. We measure heart rate variability as participants watch environment conservation videos. We(More)
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