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» Self-Supervised Learning for Robust Video Indexing
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ICMCS
2006
IEEE
131views Multimedia» more  ICMCS 2006»
14 years 4 months ago
Self-Supervised Learning for Robust Video Indexing
The performance of video analysis and indexing algorithms strongly depends on the type, content and recording characteristics of the analyzed video. Current video indexing approac...
Ralph Ewerth, Bernd Freisleben
CVPR
2011
IEEE
13 years 7 months ago
Fast Unsupervised Ego-Action Learning for First-person Sports Videos
Portable high-quality sports cameras (e.g. head or helmet mounted) built for recording dynamic first-person video footage are becoming a common item among many sports enthusiasts...
Kris Kitani, Yoichi Sato, Takahiro Okabe, Akihiro ...
ICIP
2009
IEEE
13 years 7 months ago
An incremental extremely random forest classifier for online learning and tracking
Decision trees have been widely used for online learning classification. Many approaches usually need large data stream to finish decision trees induction, as show notable limitat...
Aiping Wang, Guowei Wan, Zhiquan Cheng, Sikun Li
AAAI
1997
13 years 11 months ago
The "Inverse Hollywood Problem": From Video to Scripts and Storyboards via Causal Analysis
We address the problem of visually detecting causal events and tting them together into a coherent story of the action witnessed by the camera. We show that this can be done by re...
Matthew Brand
CIVR
2008
Springer
271views Image Analysis» more  CIVR 2008»
13 years 11 months ago
Multiple feature fusion by subspace learning
Since the emergence of extensive multimedia data, feature fusion has been more and more important for image and video retrieval, indexing and annotation. Existing feature fusion t...
Yun Fu, Liangliang Cao, Guodong Guo, Thomas S. Hua...