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» Octree approximation and compression methods
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SIGPRO
2010
141views more  SIGPRO 2010»
13 years 5 months ago
Tetrolet shrinkage with anisotropic total variation minimization for image approximation
In this paper, an anisotropic total variation (ATV) minimization is combined with the new adaptive tetrolet transform for discontinuity-preserving image processing. In order to su...
Jens Krommweh, Jianwei Ma
ICASSP
2011
IEEE
12 years 11 months ago
Image prediction based on non-negative matrix factorization
This paper presents a novel spatial texture prediction method based on non-negative matrix factorization. As an extension of template matching, approximation based iterative textu...
Mehmet Türkan, Christine Guillemot
ICIP
1999
IEEE
14 years 9 months ago
Simplified Segmentation for Compound Image Compression
There are three basic segmentation schemes for compound image compression: object-based, layer-based, and block-based. This work discusses the relative advantages of each scheme a...
Amir Said, Alexander Drukarev
FGCN
2008
IEEE
240views Communications» more  FGCN 2008»
14 years 1 months ago
Data Compression Algorithm Based on Hierarchical Cluster Model for Sensor Networks
A new distributed algorithm of data ccompression based on hierarchical cluster model for sensor networks is proposed, the basic ideas of which are as follows, firstly the whole se...
Tongsen Wang, Lei Wang, Zhijun Xie, Ronghua Yang
SDM
2011
SIAM
223views Data Mining» more  SDM 2011»
12 years 10 months ago
Characterizing Uncertain Data using Compression
Motivated by sensor networks, mobility data, biology and life sciences, the area of mining uncertain data has recently received a great deal of attention. While various papers hav...
Francesco Bonchi, Matthijs van Leeuwen, Antti Ukko...