抄録
We proposed a new cognitive visual model of movie recognition based on our previous findings of psychophysical phenomena. Our cognitive model suggested two important functions of movie recognition process. First, a continuous movie sequence was divided and perceived as serial event segments of short scenes. The movie would be coded for each of the segments and structuralized as a contextual association of each segments. Second, the knowledge structure of the context of previously viewed movies was used to predict the ongoing movie context and the online segmentation. We compared our cognitive model with a previously proposed theoretical model of movie processing. The results of our experiments supported our hypothesis: an adaptive learning mechanism of online movie segmentation would be effective for an intelligent knowledge-based structure of a future movie analysis system.
