A Deep Multimodal Model for Predicting Affective Responses Evoked by Movies Based on Shot Segmentation

Table 1

Comparison of the performance of the two segmentation methods.

Features	Experienced arousal		Experienced valence
	MSE	PCC	MSE	PCC
5 s features4 (loss2)	0.0476	0.4543	0.0707	0.2145
Shot features4 (loss2)	0.0377	0.5822	0.0820	0.2203

The best result for each indicator is marked in bold.