Visual sentiment analysis using data-augmented deep transfer learning techniques

H Hong, W Zaheer, A Wali - Multimedia Systems, 2024 - Springer
The use of visual content to express emotions on social media platforms has become
increasingly popular. Visual sentiment analysis can be used to understand the sentiment …

Quantitative analysis of visual representation of sign elements in COVID-19 context

MJ Cano-Martínez, M Carrasco… - Empirical Studies of …, 2023 - journals.sagepub.com
Visual representation as a means of communication uses elements to build a narrative. We
propose using computer analysis to perform a quantitative analysis of the elements used in …

[HTML][HTML] ARMNet: A Network for Image Dimensional Emotion Prediction Based on Affective Region Extraction and Multi-Channel Fusion

J Zhang, J Sun, C Wang, Z Tao, F Zhang - Sensors, 2024 - mdpi.com
Compared with discrete emotion space, image emotion analysis based on dimensional
emotion space can more accurately represent fine-grained emotion. Meanwhile, this high …

PWAM-LSTM: prime word focused attention mechanism in long short term memory

S Sowmyayani, V Murugan - Multimedia Tools and Applications, 2024 - Springer
Attention helps by limiting the data presented to the deep neural network and hence is
computationally more efficient. In addition, it can be used for variable size input problems …

Impact of Attention on Visual Sentiment Analysis

P Goel, DK Vishwakarma - 2024 14th International Conference …, 2024 - ieeexplore.ieee.org
With the increasing use of social media among people, the amount of data is increasing,
making its analysis more and more challenging. Many existing works focus on textual …

Detection of Emotions in Artworks Using a Convolutional Neural Network Trained on Non-Artistic Images: A Methodology to Reduce the Cross-Depiction Problem

C González-Martín, M Carrasco… - Empirical Studies of …, 2024 - journals.sagepub.com
This research is framed within the study of automatic recognition of emotions in artworks,
proposing a methodology to improve performance in detecting emotions when a network is …

[HTML][HTML] 融合场景机制的机械作业操作识别算法

宋浪 - Modeling and Simulation, 2024 - hanspub.org
机械作业场景下的操作识别可以大大提高安全监督效率, 针对传统的目标检测算法无法根据不同
的机械作业场景识别操作行为的问题, 提出一种融合场景机制的机械作业操作识别算法 …

A Multi-level Style Feature Model for Visual Sentiment Analysis

J Wang, D Xu, H Zhang - … on Computer Vision, Image and Deep …, 2024 - ieeexplore.ieee.org
Visual sentiment analysis aims to enhance user experience by predicting user sentiments
and understanding their interests. However, existing methods typically rely on global …

Predicting Emotions Evoked by Artworks: A Study on Multi-Modal Approaches

P Kar, JJ Bird, A Sumich, A Knight… - Available at SSRN … - papers.ssrn.com
Since time immemorial artworks have consistently recorded human creativity, and
discerning the emotions evoked by artworks is a challenging yet enthralling task. Emotions …

Image Emotion Analysis Combining Attention Mechanism and Multi-level Correlation

S Ren, S Li - Frontiers in Computing and Intelligent Systems, 2023 - drpress.org
The development of social network has brought a large amount of image information, and
the research on image emotion has gradually attracted wide attention. The current image …