[PDF][PDF] Affective image content analysis: A comprehensive survey

S Zhao, G Ding, Q Huang, TS Chua, B Schuller… - 2018 - opus.bibliothek.uni-augsburg.de
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 …

Unlocking the emotional world of visual media: An overview of the science, research, and impact of understanding emotion

JZ Wang, S Zhao, C Wu, RB Adams… - Proceedings of the …, 2023 - ieeexplore.ieee.org
The emergence of artificial emotional intelligence technology is revolutionizing the fields of
computers and robotics, allowing for a new level of communication and understanding of …

Affective image content analysis: Two decades review and new perspectives

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 …

An end-to-end visual-audio attention network for emotion recognition in user-generated videos

S Zhao, Y Ma, Y Gu, J Yang, T **ng, P Xu… - Proceedings of the …, 2020 - ojs.aaai.org
Emotion recognition in user-generated videos plays an important role in human-centered
computing. Existing methods mainly employ traditional two-stage shallow pipeline, ie …

Weakly supervised coupled networks for visual sentiment analysis

J Yang, D She, YK Lai, PL Rosin… - Proceedings of the …, 2018 - openaccess.thecvf.com
Automatic assessment of sentiment from visual content has gained considerable attention
with the increasing tendency of expressing opinions on-line. In this paper, we solve the …

Affective image filter: Reflecting emotions from text to images

S Weng, P Zhang, Z Chang, X Wang… - Proceedings of the …, 2023 - openaccess.thecvf.com
Understanding the emotions in text and presenting them visually is a very challenging
problem that requires a deep understanding of natural language and high-quality image …

Ship classification in medium-resolution SAR images via densely connected triplet CNNs integrating Fisher discrimination regularized metric learning

J He, Y Wang, H Liu - IEEE Transactions on Geoscience and …, 2020 - ieeexplore.ieee.org
Thanks to the medium-to-high resolution and wide coverage imaging ability, satellite
synthetic aperture radar (SAR) systems are momentously developed for intelligent maritime …

WSCNet: Weakly supervised coupled networks for visual sentiment classification and detection

D She, J Yang, MM Cheng, YK Lai… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Automatic assessment of sentiment from visual content has gained considerable attention
with the increasing tendency of expressing opinions online. In this paper, we solve the …

Multi-source domain adaptation for visual sentiment classification

C Lin, S Zhao, L Meng, TS Chua - … of the AAAI conference on artificial …, 2020 - ojs.aaai.org
Existing domain adaptation methods on visual sentiment classification typically are
investigated under the single-source scenario, where the knowledge learned from a source …

Stimuli-aware visual emotion analysis

J Yang, J Li, X Wang, Y Ding… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Visual emotion analysis (VEA) has attracted great attention recently, due to the increasing
tendency of expressing and understanding emotions through images on social networks …