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» Application of Level Set Methods in Computer Vision
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ICPR
2010
IEEE
15 years 4 months ago
Local Binary Pattern-Based Features for Text Identification of Web Images
We present a method of robustly identifying a text block in complex web images. The method is a MLP (Multilayer perceptron) classifier trained on LBP (Local binary patterns), wavel...
Insook Jung, Il-Seok Oh
ICCV
2003
IEEE
16 years 8 months ago
Cumulative Residual Entropy, A New Measure of Information & its Application to Image Alignment
In this paper we use the cumulative distribution of a random variable to define the information content in it and use it to develop a novel measure of information that parallels S...
Fei Wang, Baba C. Vemuri, Murali Rao, Yunmei Chen
DATE
2005
IEEE
107views Hardware» more  DATE 2005»
16 years 9 days ago
Fine Grain QoS Control for Multimedia Application Software
We propose a method for fine grain QoS control of dataflow applications. We assume that the application software is described as the composition of actions (C-functions) with qu...
Jacques Combaz, Jean-Claude Fernandez, Thierry Lep...
AVSS
2005
IEEE
16 years 9 days ago
Multi-camera positioning to optimize task observability
The performance of computer vision systems for measurement, surveillance, reconstruction, gait recognition, and many other applications, depends heavily on the placement of camera...
Robert Bodor, Paul R. Schrater, Nikolaos Papanikol...
CVPR
2011
IEEE
14 years 10 months ago
Boosted Local Structured HOG-LBP for Object Localization
Object localization is a challenging problem due to variations in object’s structure and illumination. Although existing part based models have achieved impressive progress in t...
Junge Zhang, Kaiqi Huang, Tieniu Tan