Visual event recognition in videos by learning from web data
We propose a visual event recognition framework for consumer videos by leveraging a large amount of loosely labeled web videos (e.g., from YouTube). Observing that consumer videos generally contain large intraclass variations within the same type of events, we first propose a new method, called Alig...
Main Authors: | Duan, Lixin, Xu, Dong, Tsang, Ivor Wai-Hung, Luo, Jiebo |
---|---|
Other Authors: | School of Computer Engineering |
Format: | Journal Article |
Language: | English |
Published: |
2013
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/99186 http://hdl.handle.net/10220/13518 |
Similar Items
-
Domain transfer multiple kernel learning
by: Duan, Lixin, et al.
Published: (2013) -
Creative Data Literacy: A Constructionist Approach to Teaching Information Visualization
by: D'Ignazio, Catherine, et al.
Published: (2020) -
Laplacian embedded regression for scalable manifold regularization
by: Chen, Lin, et al.
Published: (2013) -
Visual recognition using deep learning (video captioning using deep learning)
by: Thong, Jing Lin
Published: (2021) -
USN: a robust imitation learning method against diverse action noise
by: Yu, Xingrui, et al.
Published: (2024)