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» Compressive Sensing for Background Subtraction
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ICCV
2009
IEEE
14 years 9 months ago
Learning with dynamic group sparsity
This paper investigates a new learning formulation called dynamic group sparsity. It is a natural extension of the standard sparsity concept in compressive sensing, and is motivat...
Junzhou Huang, Xiaolei Huang, Dimitris N. Metaxas
CISS
2008
IEEE
15 years 6 months ago
Reconstruction of compressively sensed images via neurally plausible local competitive algorithms
Abstract—We develop neurally plausible local competitive algorithms (LCAs) for reconstructing compressively sensed images. Reconstruction requires solving a sparse approximation ...
Robert L. Ortman, Christopher J. Rozell, Don H. Jo...
ICIP
2003
IEEE
16 years 1 months ago
Robust moving video object segmentation in the MPEG compressed domain
In this paper, we proposed a robust moving video object segmentation algorithm using features in the MPEG compressed domain. We first cluster the motion vectors and produce a moti...
Xiao-Dong Yu, Ling-Yu Duan, Qi Tian
ICIP
2009
IEEE
16 years 15 days ago
Improved Layer Processing For Mrc Compression Of Scanned Documents
The Mixed Raster Content (MRC) document compression is a well documented standard. Its efficiency for representing sharp text and graphics over a background has been extensively p...
DCC
2008
IEEE
15 years 11 months ago
Object-Based Regions of Interest for Image Compression
A fully automated architecture for object-based region of interest (ROI) detection is proposed. ROI's are defined as regions containing user defined objects of interest, and ...
Sunhyoung Han, Nuno Vasconcelos