Exploring principles-of-art features for image emotion recognition
Emotions can be evoked in humans by images. Most previous works on image emotion
analysis mainly used the elements-of-art-based low-level visual features. However, these …
analysis mainly used the elements-of-art-based low-level visual features. However, these …
LIRIS-ACCEDE: A video database for affective content analysis
Research in affective computing requires ground truth data for training and benchmarking
computational models for machine-based emotion understanding. In this paper, we propose …
computational models for machine-based emotion understanding. In this paper, we propose …
Automatic, dimensional and continuous emotion recognition
Recognition and analysis of human emotions have attracted a lot of interest in the past two
decades and have been researched extensively in neuroscience, psychology, cognitive …
decades and have been researched extensively in neuroscience, psychology, cognitive …
Multi-level region-based convolutional neural network for image emotion classification
Analyzing emotional information of visual content has attracted growing attention for the
tendency of internet users to share their feelings via images and videos online. In this paper …
tendency of internet users to share their feelings via images and videos online. In this paper …
Video affective content analysis: A survey of state-of-the-art methods
Video affective content analysis has been an active research area in recent decades, since
emotion is an important component in the classification and retrieval of videos. Video …
emotion is an important component in the classification and retrieval of videos. Video …
Learning multi-level deep representations for image emotion classification
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 …
for image emotion classification (MldrNet). Image emotion can be recognized through image …
Automatic detection of students' affective states in classroom environment using hybrid convolutional neural networks
A TS, RMR Guddeti - Education and information technologies, 2020 - Springer
Predicting the students' emotional and behavioral engagements using computer vision
techniques is a challenging task. Though there are several state-of-the-art techniques for …
techniques is a challenging task. Though there are several state-of-the-art techniques for …
Learning visual sentiment distributions via augmented conditional probability neural network
Visual sentiment analysis is raising more and more attention with the increasing tendency to
express emotions through images. While most existing works assign a single dominant …
express emotions through images. While most existing works assign a single dominant …
A probability and integrated learning based classification algorithm for high-level human emotion recognition problems
In this paper, a probability and integrated learning (PIL) based classification algorithm is
proposed for solving high-level human emotion recognition problems. Firstly, by simulating …
proposed for solving high-level human emotion recognition problems. Firstly, by simulating …
Affective characterization of movie scenes based on content analysis and physiological changes
M Soleymani, G Chanel, JJM Kierkels… - International Journal of …, 2009 - World Scientific
In this paper, we propose an approach for affective characterization of movie scenes based
on the emotions that are actually felt by spectators. Such a representation can be used to …
on the emotions that are actually felt by spectators. Such a representation can be used to …