Ensemble Convolution Neural Network for Robust Video Emotion Recognition Using Deep Semantics

Table 15

The Precision of maximum ensemble of different techniques.

Method	Precision
	Angry	Disgust	Fear	Happy	Sad	Surprise	Neutral	Overall
CNNHOG-KLT	0.93	0.90	0.91	0.93	0.93	0.89	0.93	0.92
CNNHaar-SVM	0.91	0.91	0.90	0.93	0.92	0.91	0.90	0.91
CNNPATCH	0.91	0.91	0.89	0.92	0.91	0.91	0.90	0.91
CNNENSEMBLE	0.93	0.91	0.91	0.93	0.93	0.91	0.93	0.92

Bold values show that the CNN ENSEMBLE model has more precision values as compared with other models.