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» Image processing and data analysis: The multiscale approach
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EMMCVPR
2007
Springer
13 years 12 months ago
Bayesian Order-Adaptive Clustering for Video Segmentation
Video segmentation requires the partitioning of a series of images into groups that are both spatially coherent and smooth along the time axis. We formulate segmentation as a Bayes...
Peter Orbanz, Samuel Braendle, Joachim M. Buhmann
DAGM
1998
Springer
13 years 10 months ago
Discrete Mixture Models for Unsupervised Image Segmentation
This paper introduces a novel statistical mixture model for probabilistic clustering of histogram data and, more generally, for the analysis of discrete co occurrence data. Adoptin...
Jan Puzicha, Joachim M. Buhmann, Thomas Hofmann
ICIP
2002
IEEE
14 years 7 months ago
A study of contextual modeling and texture characterization for multiscale Bayesian segmentation
In this paper, we demonstrate that multiscale Bayesian image segmentation can be enhanced by improving both contextual modeling and statistical texture characterization. Firstly, ...
Guoliang Fan, Xiaomu Song
ICIAR
2004
Springer
13 years 11 months ago
Video Segmentation Through Multiscale Texture Analysis
Segmenting a video sequence into different coherent scenes requires analyzing those aspects which allow finding the changes where a transition is to be found. Textures are an imp...
Miguel Alemán-Flores, Luis Álvarez-L...
ICIP
1995
IEEE
14 years 7 months ago
Multiresolution model development for overlapping trees via canonical correlation analysis
Recently a class of multiscale stochastic models has been introducedin which Gaussian random processes are described by scale-recursive dynamics that are indexed by the nodes of a...
Paul W. Fieguth, William W. Irving, Alan S. Willsk...