Knowledge Commons of Institute of Automation,CAS
MULTI-SCALE AND MULTI-REGION FACIAL DISCRIMINATIVE REPRESENTATION FOR AUTOMATIC DEPRESSION LEVEL PREDICTION | |
MIngyue Niu1,2![]() ![]() ![]() | |
2021 | |
会议名称 | International Conference on Acoustics, Speech and Signal Processing |
会议日期 | 2021-6 |
会议地点 | 加拿大多伦多 |
摘要 | Physiological studies have shown that differences in facial activities between depressed patients and normal individuals are manifested in different local facial regions and the durations of these activities are not the same. But most previous works extract features from the entire facial region at a fixed time scale to predict the individual depression level. Thus, they are inadequate in capturing dynamic facial changes. For these reasons, we propose a multi-scale and multi-region facial dynamic representation method to improve the prediction performance. In particular, we firstly use multiple time scales to divide the original long-term video into segments containing different facial regions. Secondly, the segment-level feature is extracted by 3D convolution neural network to characterize the facial activities with different durations in different facial regions. Thirdly, this paper adopts eigen evolution pooling and gradient boosting decision tree to aggregate these segment-level features and select discriminative elements to generate the video-level feature. Finally, the depression level is predicted using support vector regression. Experiments are conducted on AVEC2013 and AVEC2014. The results demonstrate that our method achieves better performance than the previous works. |
收录类别 | EI |
七大方向——子方向分类 | 多模态智能 |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/44403 |
专题 | 多模态人工智能系统全国重点实验室_智能交互 |
通讯作者 | MIngyue Niu |
作者单位 | 1.National Laboratory of Pattern Recognition, CASIA, Beijing, China 2.School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China 3.CAS Center for Excellence in Brain Science and Intelligence Technology, Beijing, China |
第一作者单位 | 中国科学院自动化研究所 |
通讯作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | MIngyue Niu,Jianhua Tao,Bin Liu. MULTI-SCALE AND MULTI-REGION FACIAL DISCRIMINATIVE REPRESENTATION FOR AUTOMATIC DEPRESSION LEVEL PREDICTION[C],2021. |
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