Multimodal learning with deep Boltzmann Machine for emotion prediction in user generated videos

• Main Authors: PANG, Lei, NGO, Chong-wah
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2015
• Subjects: Deep Boltzmann Machine; Emotion analysis; Multimodal learning; Databases and Information Systems; Graphics and Human Computer Interfaces
• Online Access: https://ink.library.smu.edu.sg/sis_research/6502; https://ink.library.smu.edu.sg/context/sis_research/article/7505/viewcontent/2671188.2749400.pdf
• Institution: Singapore Management University

Detecting emotions from user-generated videos, such as“anger” and “sadness”, has attracted widespread interest recently. The problem is challenging as effectively representing video data with multi-view information (e.g., audio, video or text) is not trivial. In contrast to the existing works that e...