39 search results - page 1 / 8 » Optimal parameter estimation for model-based quantization |
86
Voted
ICASSP
2009
IEEE
15 years 4 months ago
2009
IEEE
We address optimal model estimation for model-based vector quantization for both the constrained resolution (CR) and constrained entropy (CE) cases. To this purpose we derive unde...
ICPR
2006
IEEE
15 years 10 months ago
2006
IEEE
The quantization parameter (QP) has a very important impact on the compression rate in H.264. In this paper we show that in order to achieve efficient rate-control coding a good e...
71
Voted
ICPR
2000
IEEE
15 years 2 months ago
2000
IEEE
Grouping algorithms based on histograms over measured image features have very successfully been applied to textured image segmentation [2, 11, 6]. However, the competing goals of...
AICT
2006
IEEE
15 years 1 months ago
2006
IEEE
In stochastic thresholding, the threshold for quantization of a signal is randomized. An estimator based on quantized signal data can be optimized through stochastic thresholding. ...
NIPS
2001
14 years 11 months ago
2001
We suggest a nonparametric framework for unsupervised learning of projection models in terms of density estimation on quantized sample spaces. The objective is not to optimally re...