This paper presents a user-independent emotion recognition method with the goal of
recovering affective tags for videos using electroencephalogram (EEG), pupillary response …

Emotions can be evoked in humans by images. Most previous works on image emotion
analysis mainly used the elements-of-art-based low-level visual features. However, these …

Research in affective computing requires ground truth data for training and benchmarking
computational models for machine-based emotion understanding. In this paper, we propose …

Predicting the students' emotional and behavioral engagements using computer vision
techniques is a challenging task. Though there are several state-of-the-art techniques for …

Video affective content analysis has been an active research area in recent decades, since
emotion is an important component in the classification and retrieval of videos. Video …

Music videos contain a great deal of visual and acoustic information. Each information
source within a music video influences the emotions conveyed through the audio and video …

Images can convey rich semantics and induce various emotions to viewers. Most existing
works on affective image analysis focused on predicting the dominant emotions for the …

Emotion is a key element in user-generated video. However, it is difficult to understand
emotions conveyed in such videos due to the complex and unstructured nature of user …

Images can convey rich semantics and induce various emotions to viewers. Most existing
works on affective image analysis focused on predicting the dominant emotions for the …

With the rapid development of video distribution and broadcasting, affective video content
analysis has attracted a lot of research and development activities recently. Predicting …