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» Adaptive semantic Bayesian framework for image attention
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ICIP
2000
IEEE
15 years 11 months ago
Motion Estimation Using Adaptive Blocksize Observation Model and Efficient Multiscale Regularization
Bayesian motion estimation requires two pdf models: observation model and motion field (prior) model. The optimization process for this method uses sequential approach, e.g. simul...
Stephanus Suryadarma Tandjung, Teddy Surya Gunawan...
ISBI
2008
IEEE
15 years 10 months ago
Bayesian non local means-based speckle filtering
In ultrasound (US) imaging, denoising is intended to improve quantitative image analysis techniques. In this paper, a new version of the Non Local (NL) Means filter adapted for US...
Charles Kervrann, Christian Barillot, Pierre Helli...
MMM
2009
Springer
112views Multimedia» more  MMM 2009»
15 years 6 months ago
General Highlight Detection in Sport Videos
Abstract. Attention is a psychological measurement of human reflection against stimulus. We propose a general framework of highlight detection by comparing attention intensity dur...
Reede Ren, Joemon M. Jose
ISBI
2008
IEEE
15 years 10 months ago
FMRI brain activity and underlying hemodynamics estimation in a new Bayesian framework
The emerging functional MRI (Magnetic Resonance Imaging), fMRI, imaging modality was developed to obtain non-invasive information regarding the neural processes behind pre-determi...
David M. Afonso, João M. Sanches, Martin H....
MIR
2006
ACM
223views Multimedia» more  MIR 2006»
15 years 3 months ago
Adaptive image retrieval using a Graph model for semantic feature integration
The variety of features available to represent multimedia data constitutes a rich pool of information. However, the plethora of data poses a challenge in terms of feature selectio...
Jana Urban, Joemon M. Jose