With the increasing number of users express their emotions via images on social media,
image emotion recognition attracts much attention of researchers. Different from …

Convolutional neural networks (CNNs) are commonly employed for image emotion
recognition owing to their ability to extract local features; however, they have difficulty …

Teaching machines to comprehend the nuances of emotion from photographs is a
particularly challenging task. Emotion perception—naturally a subjective problem, is often …

The effective extraction of deep information from surveillance video lays the basis for smart
city safety. However, the surveillance video images contain complex targets, whose …

Eye tracking is a promising technology offering objective metrics quantifying visual attention
in various application fields. The employment in people with specific learning disabilities …

People on an average tend to express their emotions and opinions farmore freely in social
media community than anywhere else. Understanding human emotional states is necessary …