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Many algorithms and works have helped in the understanding and development of affective analysis of films. In spite of the progress made up to now, it is still not very precise how the low-level features of movies shape the resulting affective state of the viewer. In this work we evaluate different visual features and investigate how they impact the emotional evaluation under two paradigms: the dimensional...
In this paper, a graphical modeling-based approach to semantic video analysis is presented for jointly realizing modality fusion and temporal context exploitation. Overall, the examined video sequence is initially segmented into shots and for every resulting shot appropriate color, motion and audio features are extracted. Then, Hidden Markov Models (HMMs) are employed for performing an initial association...
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