An audiovisual human attention analysis approach to abrupt change detection in videos
Audio and visual surprise curves are created using Bayesian surprise. The synchronized sequence reflecting unusual event is obtained based on the time-synchrony. The abrupt changes in videos are detected by utilizing both audio and visual modalities. The approach does not require any prior information and has been applied to human behavior and scene videos.
audiovisual abrupt changes detection bayesian surprise unsupervised time-synchrony