[PDF][PDF] Affective image content analysis: A comprehensive survey
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 …
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
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 …
computers and robotics, allowing for a new level of communication and understanding of …
Affective image content analysis: Two decades review and new perspectives
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 …
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
Emotion recognition in user-generated videos plays an important role in human-centered
computing. Existing methods mainly employ traditional two-stage shallow pipeline, ie …
computing. Existing methods mainly employ traditional two-stage shallow pipeline, ie …
Weakly supervised coupled networks for visual sentiment analysis
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 …
with the increasing tendency of expressing opinions on-line. In this paper, we solve the …
Affective image filter: Reflecting emotions from text to images
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 …
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 …
synthetic aperture radar (SAR) systems are momentously developed for intelligent maritime …
WSCNet: Weakly supervised coupled networks for visual sentiment classification and detection
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 …
with the increasing tendency of expressing opinions online. In this paper, we solve the …
Multi-source domain adaptation for visual sentiment classification
Existing domain adaptation methods on visual sentiment classification typically are
investigated under the single-source scenario, where the knowledge learned from a source …
investigated under the single-source scenario, where the knowledge learned from a source …
Stimuli-aware visual emotion analysis
Visual emotion analysis (VEA) has attracted great attention recently, due to the increasing
tendency of expressing and understanding emotions through images on social networks …
tendency of expressing and understanding emotions through images on social networks …