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» Quantization of Sparse Representations
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ECCV
2010
Springer
14 years 20 days ago
Representing Pairwise Spatial and Temporal Relations for Action Recognition
The popular bag-of-words paradigm for action recognition tasks is based on building histograms of quantized features, typically at the cost of discarding all information about rela...
SIPS
2007
IEEE
14 years 2 months ago
A New Video Compression Scheme Combining Conditional Replenishment and Address Event Representation
A novel video compression scheme is presented in this paper. This algorithm is implemented based on a conditional replenishment Address Event Representation (AER) imager, where im...
Harry. L. Hu, Amine Bermak, Dominique Martinez
ICASSP
2011
IEEE
12 years 11 months ago
Extension of the Global Matched Filter to structured groups of atoms: Application to harmonic signals
When seeking a sparse representation of a signal on a redundant basis, one might want to convey available a priori information on the observations to the optimization criterion. I...
Jean-Jacques Fuchs
CVPR
2012
IEEE
11 years 10 months ago
Visual tracking via adaptive structural local sparse appearance model
Sparse representation has been applied to visual tracking by finding the best candidate with minimal reconstruction error using target templates. However most sparse representati...
Xu Jia, Huchuan Lu, Ming-Hsuan Yang
ICCV
2007
IEEE
14 years 9 months ago
Vector Quantizing Feature Space with a Regular Lattice
Most recent class-level object recognition systems work with visual words, i.e., vector quantized local descriptors. In this paper we examine the feasibility of a dataindependent ...
Tinne Tuytelaars, Cordelia Schmid