Title
Coupled source domain targetized with updating tag vectors for micro-expression recognition.
Abstract
Micro-expression has raised increasing attention for analyzing human inner emotions. However, most micro-expression recognition methods are developed with specific feature representations and extraction methods, such as local binary pattern on three orthogonal planes (LBP-TOP) and optical flow. The performance in such micro-expression recognition models is not high due to the limited training samples and the unequal size of the sample category. To improve the performance, we present a novel algorithm, named coupled source domain targetized with updating tag vectors, and we apply it to the micro-expression recognition. This method leverages rich speech data to enhance micro-expression recognition by transferring learning from the speech to the micro-expression recognition. The method highlights are: it simultaneously projects micro-expression samples and speech samples into a common space, then minimizes the reconstruction error between the speech and micro-expression samples, with an updating tag vectors added in the reconstruction process. It performs recognition by using dictionary learning together with support vector machine (SVM). Experimental results on the CASIA Chinese emotional corpus and CASME II micro-expression database demonstrate the effectiveness of our method.
Year
DOI
Venue
2018
https://doi.org/10.1007/s11042-017-4943-z
Multimedia Tools Appl.
Keywords
Field
DocType
Micro-expression recognition,Coupled source domain targetized,Tag vectors,Transfer learning
Dictionary learning,Pattern recognition,Facial expression recognition,Computer science,Transfer of learning,Local binary patterns,Support vector machine,Speech recognition,Reconstruction error,Feature (machine learning),Artificial intelligence,Optical flow
Journal
Volume
Issue
ISSN
77
3
1380-7501
Citations 
PageRank 
References 
3
0.36
42
Authors
5
Name
Order
Citations
PageRank
Xuena Zhu130.36
Xianye Ben213110.56
Shigang Liu3264.37
Rui Yan4885.22
Wei-Xiao Meng515132.05