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CVPR
2008
IEEE
14 years 10 months ago
A hierarchical and contextual model for aerial image understanding
In this paper we present a novel method for parsing aerial images with a hierarchical and contextual model learned in a statistical framework. We learn hierarchies at the scene an...
Jake Porway, Kristy Wang, Benjamin Yao, Song Chun ...
IPMI
2007
Springer
14 years 9 months ago
Robust Parametric Modeling Approach Based on Domain Knowledge for Computer Aided Detection of Vertebrae Column Metastases in MRI
This study evaluates a robust parametric modeling approach for computer-aided detection (CAD) of vertebrae column metastases in whole-body MRI. Our method involves constructing a m...
Anna K. Jerebko, G. P. Schmidt, Xiang Sean Zhou, J...
ICMCS
2005
IEEE
193views Multimedia» more  ICMCS 2005»
14 years 2 months ago
Segmenting Layers in Automated Visual Surveillance
Detecting objects of interest from a video sequence is a fundamental and critical task in automated visual surveillance. Those objects can either be moving or stationary. However,...
Lijuan Qin, Yueting Zhuang, Yunhe Pan, Fei Wu
ICPR
2008
IEEE
14 years 3 months ago
Adaptive semantic Bayesian framework for image attention
Image attention is the basic technique for many computer vision applications. In this paper, we propose an adaptive Bayesian framework to detect the image attention in color image...
Wei Zhang, Q. M. Jonathan Wu, Guanghui Wang
ICIP
2008
IEEE
14 years 10 months ago
LASIC: A model invariant framework for correspondence
In this paper we address two closely related problems. The first is the object detection problem, i.e., the automatic decision of whether a given image represents a known object o...
Bernardo Rodrigues Pires, João Xavier, Jos&...