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CVPR
2005
IEEE
14 years 10 months ago
Semi-Supervised Cross Feature Learning for Semantic Concept Detection in Videos
For large scale automatic semantic video characterization, it is necessary to learn and model a large number of semantic concepts. But a major obstacle to this is the insufficienc...
Rong Yan, Milind R. Naphade
CVPR
2010
IEEE
14 years 2 months ago
Learning 3D Action Models from a few 2D videos for View Invariant Action Recognition
Most existing approaches for learning action models work by extracting suitable low-level features and then training appropriate classifiers. Such approaches require large amount...
Pradeep Natarajan, Vivek Singh, Ram Nevatia
TRECVID
2008
13 years 10 months ago
LIG and LIRIS at TRECVID 2008: High Level Feature Extraction and Collaborative Annotation
This paper describes our participations of LIG and LIRIS to the TRECVID 2008 High Level Features detection task. We evaluated several fusion strategies and especially rank fusion....
ACL
2007
13 years 10 months ago
Adding Noun Phrase Structure to the Penn Treebank
The Penn Treebank does not annotate within base noun phrases (NPs), committing only to flat structures that ignore the complexity of English NPs. This means that tools trained on...
David Vadas, James R. Curran
MM
1997
ACM
117views Multimedia» more  MM 1997»
14 years 20 days ago
What Should a Wildebeest Say? Interactive Nature Films for High School Classrooms
Nature documentaries play an important role in high school biology classrooms, yet they deliver a passive and biased account of the behavior of organisms. To engage students in mo...
Brian K. Smith, Brian J. Reiser