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ECCV
2004
Springer
15 years 11 months ago
Adaptive Probabilistic Visual Tracking with Incremental Subspace Update
Visual tracking, in essence, deals with non-stationary data streams that change over time. While most existing algorithms are able to track objects well in controlled environments,...
David A. Ross, Jongwoo Lim, Ming-Hsuan Yang
PAMI
2006
215views more  PAMI 2006»
14 years 9 months ago
Bayesian Feature and Model Selection for Gaussian Mixture Models
We present a Bayesian method for mixture model training that simultaneously treats the feature selection and the model selection problem. The method is based on the integration of ...
Constantinos Constantinopoulos, Michalis K. Titsia...
TVCG
2012
183views Hardware» more  TVCG 2012»
13 years 8 days ago
Empirical Studies in Information Visualization: Seven Scenarios
—We take a new, scenario-based look at evaluation in information visualization. Our seven scenarios, evaluating visual data analysis and reasoning, evaluating user performance, e...
Heidi Lam, Enrico Bertini, Petra Isenberg, Catheri...
ICMCS
2009
IEEE
216views Multimedia» more  ICMCS 2009»
14 years 7 months ago
Block-based color correction algorithm for multi-view video coding
The color variations among different viewpoints in multiview video sequences may deteriorate the visual quality and coding efficiency. Various color correction methods have been p...
Boxin Shi, Yangxi Li, Lin Liu, Chao Xu
ICPR
2008
IEEE
15 years 4 months ago
Learning a discriminative sparse tri-value transform
Simple binary patterns have been successfully used for extracting feature representations for visual object classification. In this paper, we present a method to learn a set of d...
Zhenhua Qu, Guoping Qiu, Pong Chi Yuen