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» A Novel Framework for Imaging Using Compressed Sensing
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TCSV
2002
88views more  TCSV 2002»
13 years 8 months ago
Variable complexity DCT approximations driven by an HVQ-based analyzer
Transform approximations are explored for speeding up the software compression of images and video. Approximations are used to replace the regular discrete cosine transform (DCT) w...
Ricardo L. de Queiroz
ICCV
2009
IEEE
13 years 6 months ago
Image annotation using multi-label correlated Green's function
Image annotation has been an active research topic in the recent years due to its potentially large impact on both image understanding and web/database image search. In this paper...
Hua Wang, Heng Huang, Chris H. Q. Ding
SCIA
2011
Springer
341views Image Analysis» more  SCIA 2011»
12 years 11 months ago
Interactive Image Segmentation Using Level Sets and Dempster-Shafer Theory of Evidence
Abstract. Variational frameworks based on level set methods are popular for the general problem of image segmentation. They combine different feature channels in an energy minimiz...
Björn Scheuermann, Bodo Rosenhahn
CORR
2010
Springer
130views Education» more  CORR 2010»
13 years 9 months ago
Phase Transitions for Greedy Sparse Approximation Algorithms
A major enterprise in compressed sensing and sparse approximation is the design and analysis of computationally tractable algorithms for recovering sparse, exact or approximate, s...
Jeffrey D. Blanchard, Coralia Cartis, Jared Tanner...
SIGGRAPH
2009
ACM
14 years 3 months ago
RACBVHs: random-accessible compressed bounding volume hierarchies
We present a novel bounding volume hierarchy (BVH) compression and decompression method transparently supporting random access on the compressed BVHs. To support random access on ...
Tae-Joon Kim, Bochang Moon, Duksu Kim, Sung-Eui Yo...