Video modeling and learning on Riemannian manifold for emotion recognition in the wild

• Main Authors: LIU, Mengyi, WANG, Ruiping, LI, Shaoxin, HUANG, Zhiwu, SHAN, Shiguang, CHEN, Xilin
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2016
• Subjects: Emotion recognition; Video modeling; Riemannian manifold; EmotiW challenge; Databases and Information Systems; Graphics and Human Computer Interfaces
• Online Access: https://ink.library.smu.edu.sg/sis_research/6404; https://ink.library.smu.edu.sg/context/sis_research/article/7407/viewcontent/Video_modeling_and_learning_on_Riemannian_manifold_for_emotion_recognition_in_the_wild_av.pdf
• Institution: Singapore Management University

In this paper, we present the method for our submission to the emotion recognition in the wild challenge (EmotiW). The challenge is to automatically classify the emotions acted by human subjects in video clips under real-world environment. In our method, each video clip can be represented by three t...