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» Improved Segmentation Based on Probabilistic Labeling
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BMVC
1998
13 years 9 months ago
Segmentation of Global Motion using Temporal Probabilistic Classification
The segmentation of pixels belonging to different moving elements within a cinematographic image sequence underpins a range of post-production special effects. In this work, the s...
P. R. Giaccone, Graeme A. Jones
ICIP
2008
IEEE
14 years 10 months ago
Supervised image segmentation via ground truth decomposition
This paper proposes a data driven image segmentation algorithm, based on decomposing the target output (ground truth). Classical pixel labeling methods utilize machine learning al...
Ilya Levner, Russell Greiner, Hong Zhang
ICASSP
2011
IEEE
13 years 5 days ago
Improving melody extraction using Probabilistic Latent Component Analysis
We propose a new approach for automatic melody extraction from polyphonic audio, based on Probabilistic Latent Component Analysis (PLCA). An audio signal is first divided into vo...
Jinyu Han, Ching-Wei Chen
MMSEC
2004
ACM
145views Multimedia» more  MMSEC 2004»
14 years 1 months ago
Improving LSB steganalysis using marginal and joint probabilistic distributions
The goal of steganalysis is to search for the presence of hidden information in numerical contents. This paper is based on a previous LSB steganalysis scheme for digital images th...
Benoit Roue, Patrick Bas, Jean-Marc Chassery
CVPR
2010
IEEE
13 years 8 months ago
A probabilistic framework for joint segmentation and tracking
Most tracking algorithms implicitly apply a coarse segmentation of each target object using a simple mask such as a rectangle or an ellipse. Although convenient, such coarse segme...
Chad Aeschliman, Johnny Park, Avinash C. Kak