Technologies related to artificial intelligence (AI) have a strong impact on the changes of
research and creative practices in visual arts. The growing number of research initiatives …

Images can convey rich semantics and induce strong emotions in viewers. Recently, with the
explosive growth of visual data, extensive research efforts have been dedicated to affective …

Images can convey rich semantics and induce various emotions in viewers. Recently, with
the rapid advancement of emotional intelligence and the explosive growth of visual data …

Recent studies in computer vision have shown that, while practically invisible to a human
observer, skin color changes due to blood flow can be captured on face videos and …

This chapter provides an accessible introduction for point processes, and especially Hawkes
processes, for modeling discrete, inter-dependent events over continuous time. We start by …

Conventional methods of matrix completion are linear methods that are not effective in
handling data of nonlinear structures. Recently a few researchers attempted to incorporate …

In this paper, we propose a new deep network that learns multi-level deep representations
for image emotion classification (MldrNet). Image emotion can be recognized through image …

Deep learning for video classification and captioning Page 1 IPART MULTIMEDIA
CONTENT ANALYSIS Page 2 Page 3 1Deep Learning for Video Classification and …

Iconography in art is the discipline that studies the visual content of artworks to determine
their motifs and themes and to characterize the way these are represented. It is a subject of …

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 …