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ICPR
2000
IEEE
14 years 8 months ago
Fast and Accurate Motion Estimation Using Orientation Tensors and Parametric Motion Models
Motion estimation in image sequences is an important step in many computer vision and image processing applications. Several methods for solving this problem have been proposed, b...
Gunnar Farnebäck
ICIP
2007
IEEE
14 years 9 months ago
Unsupervised Lips Segmentation Based on ROI Optimisation and Parametric Model
Lips segmentation is a very important step in many applications such as automatic speech reading, MPEG-4 compression, special effects, facial analysis and emotion recognition. In ...
Christian Bouvier, Pierre-Yves Coulon, Xavier Mald...
ICIP
2009
IEEE
14 years 8 months ago
Polar Snakes: A Fast And Robust Parametric Active Contour Model
We present in this paper a way to perform a fast and robust image segmentation and to track a contour along a sequence of images. Our approach is based on a dynamic deformable mod...
ICML
2010
IEEE
13 years 8 months ago
Forgetting Counts: Constant Memory Inference for a Dependent Hierarchical Pitman-Yor Process
We propose a novel dependent hierarchical Pitman-Yor process model for discrete data. An incremental Monte Carlo inference procedure for this model is developed. We show that infe...
Nicholas Bartlett, David Pfau, Frank Wood
ICASSP
2011
IEEE
12 years 11 months ago
Discriminatively estimated discrete, parametric and smoothed-discrete duration models for speech recognition
Duration of phonemic segments provide important cues for distinguishing words in languages such as Arabic. Recently, we proposed a discriminatively estimated joint acoustic, durat...
Maider Lehr, Izhak Shafran