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ICCV
2005
IEEE
14 years 9 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
14 years 7 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
14 years 9 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
PCM
2009
Springer
250views Multimedia» more  PCM 2009»
14 years 2 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
13 years 9 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