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

In heterogeneous networks, different modalities are coexisting. For example, video sources
with certain lengths usually have abundant time-varying audiovisual data. From the users' …

Unobtrusive recognition of the user's mood is an essential capability for affect-adaptive
systems. Mood is a subtle, long-term affective state, often misrecognized even by humans …

Emotions play an important role in human behavior, even more so in large congregations of
people where emotional states are prompt to be contaged and amplified. This work presents …

This paper presents a novel method to cluster sequences by embedding a non-linear time
alignment kernel function into kernel k-means. The time-alignment operation embeds the …

Since the consumption of digital media exploded in the last decade, making aesthetic
pictures quickly-with or without artistic expertise-is more than ever a research topic. Different …

Video content has a pronounced and varied cognitive impact. This thesis develops several
statistical models of video and demonstrates that these models can be used as a means of …

Under-reporting is one of the main causes of failure to solve social problems, which obstruct
national development in third-world countries. A one-stop online reporting system can …

The emotional movie database (EMBD) is a database that elicits emotions using 40s clips
with no audio as stimuli. Since its creation in 2012 the EMDB has been cited 55 times, in 37 …