Multimedia event detection with multimodal feature fusion and temporal concept localization

• Published in: Machine vision and applications Vol. 25; no. 1; pp. 49 - 69
• Main Authors: Oh, Sangmin, McCloskey, Scott, Kim, Ilseo, Vahdat, Arash, Cannons, Kevin J., Hajimirsadeghi, Hossein, Mori, Greg, Perera, A. G. Amitha, Pandey, Megha, Corso, Jason J.
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 2014; Springer Nature B.V
• Subjects: Algorithms; Arrays; Communications Engineering; Computer Science; Image Processing and Computer Vision; Localization; Machine learning; Multimedia; Networks; Pattern Recognition; Semantics; Special Issue Paper; Video data; Vision systems; Multimedia; Fusion; Classification; Machine learning

We present a system for multimedia event detection. The developed system characterizes complex multimedia events based on a large array of multimodal features, and classifies unseen videos by effectively fusing diverse responses. We present three major technical innovations. First, we explore novel...