Real-time emotion recognition and interaction design of visual art images on mobile terminals based on deep learning
A real-time visual art emotion recognition framework that combines a MHAI feature extraction module with transfer learning based on a pre-trained Inception-V3 network is proposed to enhance the extraction of emotionally salient features while improving robustness to stylistic diversity in artworks.