This article surveys the current state-of-the-art in affective computing (AC) principles,
methods, and tools as applied to games. We review this emerging field, namely affective …

The wide popularity of digital photography and social networks has generated a rapidly
growing volume of multimedia data (ie, images, music, and videos), resulting in a great …

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

How could we gather affect annotations in a rapid, unobtrusive, and accessible fashion?
How could we still make sure that these annotations are reliable enough for data-hungry …

Recognizing emotional reactions of movie audiences to affective movie content is a
challenging task in affective computing. Previous research on induced emotion recognition …

This paper introduces baselines for the Multimodal Emotion Recognition Challenge (MEC)
2017, which is a part of the first Asian Conference on Affective Computing and Intelligent …

Although temporal patterns inherent in visual and audio signals are crucial for affective
video content analysis, they have not been thoroughly explored yet. In this paper, we …

Emotion labels are usually obtained via either manual annotation, which is tedious and time-
consuming, or questionnaires, which neglect the time-varying nature of emotions and …

The question of how to best estimate the memorability of visual content is currently a source
of debate in the memorability community. In this paper, we propose to explore how different …

Affective video content analysis is an important research topic in video content analysis and
has extensive applications. Intuitively, multimodal features can depict elicited emotions, and …