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 …
Reprompt: Automatic prompt editing to refine ai-generative art towards precise expressions
Generative AI models have shown impressive ability to produce images with text prompts,
which could benefit creativity in visual art creation and self-expression. However, it is …
which could benefit creativity in visual art creation and self-expression. However, it is …
Survey on visual sentiment analysis
Visual Sentiment Analysis aims to understand how images affect people, in terms of evoked
emotions. Although this field is rather new, a broad range of techniques have been …
emotions. Although this field is rather new, a broad range of techniques have been …
Ganalyze: Toward visual definitions of cognitive image properties
We introduce a framework that uses Generative Adversarial Networks (GANs) to study
cognitive properties like memorability. These attributes are of interest because we do not …
cognitive properties like memorability. These attributes are of interest because we do not …
Emoset: A large-scale visual emotion dataset with rich attributes
Abstract Visual Emotion Analysis (VEA) aims at predicting people's emotional responses to
visual stimuli. This is a promising, yet challenging, task in affective computing, which has …
visual stimuli. This is a promising, yet challenging, task in affective computing, which has …
A review, current challenges, and future possibilities on emotion recognition using machine learning and physiological signals
The seminal work on Affective Computing in 1995 by Picard set the base for computing that
relates to, arises from, or influences emotions. Affective computing is a multidisciplinary field …
relates to, arises from, or influences emotions. Affective computing is a multidisciplinary field …
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 …
Food/non-food image classification and food categorization using pre-trained googlenet model
Recent past has seen a lot of developments in the field of image-based dietary assessment.
Food image classification and recognition are crucial steps for dietary assessment. In the …
Food image classification and recognition are crucial steps for dietary assessment. In the …
From pixels to sentiment: Fine-tuning CNNs for visual sentiment prediction
Visual multimedia have become an inseparable part of our digital social lives, and they often
capture moments tied with deep affections. Automated visual sentiment analysis tools can …
capture moments tied with deep affections. Automated visual sentiment analysis tools can …
[PDF][PDF] Joint Image Emotion Classification and Distribution Learning via Deep Convolutional Neural Network.
Visual sentiment analysis is attracting more and more attention with the increasing tendency
to express emotions through visual contents. Recent algorithms in Convolutional Neural …
to express emotions through visual contents. Recent algorithms in Convolutional Neural …