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86
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ICCV
2005
IEEE
16 years 1 months ago
Learning Non-Negative Sparse Image Codes by Convex Programming
Example-based learning of codes that statistically encode general image classes is of vital importance for computational vision. Recently, non-negative matrix factorization (NMF) ...
Christoph Schnörr, Matthias Heiler
DCC
2007
IEEE
15 years 11 months ago
Bit Recycling with Prefix Codes
Many data compression methods cannot remove all redundancy from a file that they compress because it can be encoded to many compressed files. In particular, we consider the redund...
Danny Dubé, Vincent Beaudoin
ICIP
2004
IEEE
16 years 1 months ago
Scalable predictive coding by nested quantization with layered side information
An efficient scalable predictive coding method is proposed for the Wyner-Ziv problem, using nested lattice quantization followed by multi-layer Slepian-Wolf coders (SWC) with laye...
Huisheng Wang, Antonio Ortega
119
Voted
PCM
2009
Springer
250views Multimedia» more  PCM 2009»
15 years 6 months ago
Block Adaptive Super Resolution Video Coding
Super resolution technique was first proposed for enhancing the image resolution, and then it was expanded to video sequence for obtaining a higher resolution video from low resolu...
Siwei Ma, Li Zhang, Xinfeng Zhang, Wen Gao
NIPS
1998
15 years 1 months ago
Coding Time-Varying Signals Using Sparse, Shift-Invariant Representations
A common way to represent a time series is to divide it into shortduration blocks, each of which is then represented by a set of basis functions. A limitation of this approach, ho...
Michael S. Lewicki, Terrence J. Sejnowski