Human Attention Model for Action Movie Analysis
Nowadays, automatic detection of highlights for movies is indispensable for video management and browsing. In this paper, we specifically present the formulation of human attention model and its application for action movie analysis. Depending on the relationship between stimuli in both visual and audio modalities and the change of human attention, we construct the visual and audio attention sub-models respectively. By integrating both sub-models, human attention model is formulated and attention flow plot is derived to simulate the change of human attention in the time domain. Based on video structuralization and human attention analysis, we realize action concept annotation for interest-oriented navigation of viewers. The large-scale experiments demonstrate the effectiveness and generality of human attention model for action movie analysis.