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» Compressed domain action classification using HMM
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CAIP
2007
Springer
106views Image Analysis» more  CAIP 2007»
14 years 9 days ago
A New Manifold Representation for Visual Speech Recognition
In this paper, we propose a new manifold representation capable of being applied for visual speech recognition. In this regard, the real time input video data is compressed using P...
Dahai Yu, Ovidiu Ghita, Alistair Sutherland, Paul ...
IEEECGIV
2009
IEEE
14 years 24 days ago
Two Dimensional Compressive Classifier for Sparse Images
The theory of compressive sampling involves making random linear projections of a signal. Provided signal is sparse in some basis, small number of such measurements preserves the ...
Armin Eftekhari, Hamid Abrishami Moghaddam, Massou...
ICCS
2007
Springer
14 years 8 days ago
Learning Common Outcomes of Communicative Actions Represented by Labeled Graphs
We build a generic methodology based on learning and reasoning to detect specific attitudes of human agents and patterns of their interactions. Human attitudes are determined in te...
Boris Galitsky, Boris Kovalerchuk, Sergei O. Kuzne...
CVPR
2010
IEEE
14 years 2 months ago
Learning Shift-Invariant Sparse Representation of Actions
A central problem in the analysis of motion capture (Mo- Cap) data is how to decompose motion sequences into primitives. Ideally, a description in terms of primitives should fac...
Yi Li
TASLP
2010
124views more  TASLP 2010»
13 years 26 days ago
Audio Signal Representations for Indexing in the Transform Domain
Indexing audio signals directly in the transform domain can potentially save a significant amount of computation when working on a large database of signals stored in a lossy compr...
Emmanuel Ravelli, Gaël Richard, Laurent Daude...