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 …
S Zhao, X Yao, J Yang, G Jia, G Ding… - … on Pattern Analysis …, 2021 - ieeexplore.ieee.org
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 …
T Rao, X Li, M Xu - Neural processing letters, 2020 - Springer
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 …
F Milani, P Fraternali - Journal on Computing and Cultural Heritage …, 2021 - dl.acm.org
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 …