基于静态情绪先验和时空多视图的面部视频情绪评估方法
By employing static emotion priors and spatiotemporal multi-view methods, the problems of lack of frame-level labels and pose changes in facial video emotion assessment are solved, achieving high-precision and robust facial video emotion assessment.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SOUTH CHINA UNIV OF TECH
- Filing Date
- 2026-01-16
- Publication Date
- 2026-07-17
AI Technical Summary
Existing facial video emotion assessment methods lack frame-level emotion labels, cannot fully learn the evolution of emotions in subtle temporal sequences, ignore the correlation between fine local facial regions and multi-scale temporal sequences, and cannot handle facial pose changes and occlusion, resulting in unstable feature extraction and degraded assessment performance.
We employ a method based on static emotion priors and spatiotemporal multi-views, extracting global and local features through feature enhancement, knowledge transfer, and spatial attention. We then combine multi-head attention for interaction, perform progressive temporal modeling and joint loss optimization, and achieve end-to-end training.
It improves the accuracy and robustness of facial video emotion assessment, reduces the cost of technology implementation, and enhances the model's generalization ability and real-time application performance.
Smart Images
Figure CN121963273B_ABST