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» Model Kit for Lightweight Data Compression Algorithms
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CVPR
2010
IEEE
15 years 6 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
ICASSP
2011
IEEE
14 years 1 months ago
Denoising sparse noise via online dictionary learning
The idea of learning overcomplete dictionaries based on the paradigm of compressive sensing has found numerous applications, among which image denoising is considered one of the m...
Anoop Cherian, Suvrit Sra, Nikolaos Papanikolopoul...
TCSV
2002
167views more  TCSV 2002»
14 years 9 months ago
Three-dimensional subband coding techniques for wireless video communications
This paper presents a new 3-D subband coding framework that is able to achieve a good balance between high compression performance and channel error resilience. Various data transf...
Hong Man, Ricardo L. de Queiroz, Mark J. T. Smith
3DPVT
2006
IEEE
167views Visualization» more  3DPVT 2006»
15 years 3 months ago
Hierarchical Representation of Virtual Cities for Progressive Transmission over Networks
Interactive network-based navigation over large urban environments raises difficult problems due to the size and complexity of these scenes. In this paper, we present a clientser...
Jérôme Royan, R. Balter, Christian Bo...
APGV
2008
ACM
145views Visualization» more  APGV 2008»
14 years 11 months ago
On optimal resampling of view and illumination dependent textures
The use of illumination and view dependent textural information is one way to capture the realistic appearance of genuine materials. One example of such data is the bidirectional ...
Jirí Filip, Mike J. Chantler, Michal Haindl