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» On the Use of Context Tree for Binary Image Compression
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ICIP
2002
IEEE
14 years 10 months ago
Robust still image coding using lapped transforms with block classification
Very efficient still image compression methods exist today, but most of them are not fit for transmission on error prone channels. One example of state-of-the-art robust image cod...
Arthur L. A. da Cunha, Weiler Alves Finamore, Edua...
JMIV
2006
176views more  JMIV 2006»
13 years 8 months ago
Centroidal Voronoi Tessellation Algorithms for Image Compression, Segmentation, and Multichannel Restoration
Centroidal Voronoi tessellations (CVT's) are special Voronoi tessellations for which the generators of the tessellation are also the centers of mass (or means) of the Voronoi ...
Qiang Du, Max Gunzburger, Lili Ju, Xiaoqiang Wang
CVPR
2009
IEEE
15 years 3 months ago
Efficient Scale Space Auto-Context for Image Segmentation and Labeling
The Conditional Random Fields (CRF) model, using patch-based classification bound with context information, has recently been widely adopted for image segmentation/ labeling. In...
Jiayan Jiang (UCLA), Zhuowen Tu (UCLA)
DCC
2006
IEEE
14 years 8 months ago
The B-coder: An Improved Binary Arithmetic Coder and Probability Estimator
In this paper we present the B-coder, an efficient binary arithmetic coder that performs extremely well on a wide range of data. The B-coder should be classed as an `approximate&#...
Benjamin Kelly, David F. Brailsford
CORR
2010
Springer
173views Education» more  CORR 2010»
13 years 8 months ago
CONCISE: Compressed 'n' Composable Integer Set
Bit arrays, or bitmaps, are used to significantly speed up set operations in several areas, such as data warehousing, information retrieval, and data mining, to cite a few. Howeve...
Alessandro Colantonio, Roberto Di Pietro