Combining multiple kernel methods on Riemannian manifold for emotion recognition in the wild

• Main Authors: LIU, M., WANG, R., LI, S., SHAN, S., HUANG, Zhiwu, CHEN, X.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2014
• Subjects: Emotion recognition; EmotiW 2014 challenge; Multiple kernels; Riemannian manifold; Databases and Information Systems; Graphics and Human Computer Interfaces
• Online Access: https://ink.library.smu.edu.sg/sis_research/6387; https://ink.library.smu.edu.sg/context/sis_research/article/7390/viewcontent/Combining_multiple_kernel_methods_on_riemannian_manifold_for_emotion_recognition_in_the_wild.pdf
• Institution: Singapore Management University

In this paper, we present the method for our submission to the Emotion Recognition in the Wild Challenge (EmotiW 2014). The challenge is to automatically classify the emotions acted by human subjects in video clips under realworld environment. In our method, each video clip can be represented by thr...