Name
Title | ||
|---|---|---|
Discriminative Video Representation With Temporal Order For Micro-Expression Recognition |
Abstract | ||
|---|---|---|
Micro-expression recognition is a challenging task due to its low intensity and short duration and how to extract the subtle facial changes is a key issue in this field. Although there are many methods attempt to cope with this problem, they are difficult to encode the temporal order of all frames in the video clips. For these reasons, this paper employs rank pooling and l(2,1)-norm to obtain the discriminative video representation with temporal order. In particular, we extract Local Two-Order Gradient Pattern (LTOGP) feature of each frame to describe the subtle information. Then, the video representation is generated by using rank pooling, which captures the temporal order among all frames. Furthermore, considering the sparsity of l(2,1)-norm, we can select those discriminant features. Finally, micro-expression classification is accomplished using SVM. Experiments are conducted on two publicly available micro-expression databases i.e. CASME and CASME2. The results demonstrate that our method achieves better performance than the state-of-the-art algorithms. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/icassp.2019.8682295 | 2019 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP) |
Keywords | Field | DocType |
Micro-expression recognition, LTOGP, temporal order, rank pooling, l(2,1)-norm | ENCODE,Facial recognition system,Facial expression recognition,Pattern recognition,Computer science,Discriminant,Support vector machine,Pooling,Feature extraction,Artificial intelligence,Discriminative model | Conference |
ISSN | Citations | PageRank |
1520-6149 | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mingyue Niu | 1 | 3 | 3.41 |
| Jianhua Tao | 2 | 848 | 138.00 |
| Ya Li | 3 | 40 | 3.68 |
| Jian Huang | 4 | 32 | 13.19 |
| Zheng Lian | 5 | 12 | 8.33 |