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JMM2
2007
148views more  JMM2 2007»
15 years 6 months ago
Object Segmentation Using Background Modelling and Cascaded Change Detection
— The automatic extraction and analysis of visual information is becoming generalised. The first step in this processing chain is usually separating or segmenting the captured v...
Luís Filipe Teixeira, Jaime S. Cardoso, Lu&...
ECCV
2004
Springer
16 years 8 months ago
Audio-Video Integration for Background Modelling
This paper introduces a new concept of surveillance, namely, audio-visual data integration for background modelling. Actually, visual data acquired by a fixed camera can be easily ...
Marco Cristani, Manuele Bicego, Vittorio Murino
VIS
2004
IEEE
126views Visualization» more  VIS 2004»
16 years 8 months ago
Physically Based Methods for Tensor Field Visualization
The physical interpretation of mathematical features of tensor fields is highly application-specific. Existing visualization methods for tensor fields only cover a fraction of the...
Bernd Hamann, Boris Jeremic, Hans Hagen, Ingrid Ho...
VIS
2004
IEEE
130views Visualization» more  VIS 2004»
16 years 8 months ago
The VesselGlyph: Focus & Context Visualization in CT-Angiography
Reliable and complete blood-vessel segmentation is still a challenging problem. This is especially true in the presence of morphologic changes resulting from atherosclerotic disea...
KDD
2005
ACM
168views Data Mining» more  KDD 2005»
16 years 7 months ago
Nomograms for visualizing support vector machines
We propose a simple yet potentially very effective way of visualizing trained support vector machines. Nomograms are an established model visualization technique that can graphica...
Aleks Jakulin, Martin Mozina, Janez Demsar, Ivan B...