Emotion Recognition in Artworks: Multimodal Data Analysis Based on Deep Learning Algorithms

Key Points

• The research aims to enhance emotion recognition in artworks through advanced data analysis techniques.
• Utilized deep learning algorithms for emotion recognition tasks.
• Applied multimodal data analysis to evaluate emotional responses to artworks.
• Conducted experiments on diverse artworks considering various emotional cues.
• Achieved higher accuracy in emotion recognition compared to traditional methods.
• Identified specific emotional responses associated with different art styles.
• Effectively classified emotions from artworks using multimodal data inputs.

Abstract