Previous works on facial expression analysis have shown that person specific models are
advantageous with respect to generic ones for recognizing facial expressions of new users …

Depression and other mood disorders are common, disabling disorders with a profound
impact on individuals and families. Inspite of its high prevalence, it is easily missed during …

In order to reduce the computational complexity, most of the video classification approaches
represent video data at frame level. In this paper we investigate a novel perspective that …

In the context of object and scene recognition, state-of-the-art performances are obtained
with visual Bag-of-Words (BoW) models of mid-level representations computed from dense …

Multimedia event detection (MED) is a challenging problem because of the heterogeneous
content and variable quality found in large collections of Internet videos. To study the value …

In this paper we focus on event recognition in visual image streams. More specifically, we
aim to construct a compact representation which encodes the diversity of the visual stream …

This paper proposes a novel framework for Relevance Feedback based on the Fisher
Kernel (FK). Specifically, we train a Gaussian Mixture Model (GMM) on the top retrieval …

ABSTRACT The MediaEval 2015 Affective Impact of Movies Task challenged participants to
automatically find violent scenes in a set of videos and, also, to predict the affective impact …

Following recent works on HRI for UAVs, we present a gesture recognition system which
operates on the video stream recorded from a passive monocular camera installed on a …

As minimally invasive surgery becomes increasingly popular, the volume of recorded
laparoscopic videos will increase rapidly. Invaluable information for teaching, assistance …