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ICCV
2007
IEEE
14 years 6 months ago
Extracting Spatiotemporal Interest Points using Global Information
Local spatiotemporal features or interest points provide compact but descriptive representations for efficient video analysis and motion recognition. Current local feature extract...
Shu-Fai Wong, Roberto Cipolla
CVPR
2009
IEEE
14 years 11 months ago
Recognising Action as Clouds of Space-Time Interest Points
Much of recent action recognition research is based on space-time interest points extracted from video using a Bag of Words (BOW) representation. It mainly relies on the discrimi...
Matteo Bregonzio (Queen Mary, University of London...
GIS
2007
ACM
14 years 5 months ago
Comparing global and interest point descriptors for similarity retrieval in remote sensed imagery
We investigate the application of a new category of low-level image descriptors termed interest points to remote sensed image analysis. In particular, we compare how scale and rot...
Shawn Newsam, Yang Yang
ICPR
2010
IEEE
13 years 10 months ago
A Global Spatio-Temporal Representation for Action Recognition
In this paper we introduce an effective method to construct a global spatio-temporal representation for action recognition. This representation is inspired by the fact that human ...
Chao Deng, Xiaochun Cao
ECCV
2008
Springer
14 years 6 months ago
An Efficient Dense and Scale-Invariant Spatio-Temporal Interest Point Detector
Over the years, several spatio-temporal interest point detectors have been proposed. While some detectors can only extract a sparse set of scaleinvariant features, others allow for...
Geert Willems, Tinne Tuytelaars, Luc J. Van Gool