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ICMCS
2006
IEEE
182views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Using Semantic Features for Scene Classification: how Good do they Need to Be?
Semantic scene classification is a useful, yet challenging problem in image understanding. Most existing systems are based on low-level features, such as color or texture, and suc...
Matthew R. Boutell, Anustup Choudhury, Jiebo Luo, ...
SOFTVIS
2006
ACM
14 years 1 months ago
Multiscale and multivariate visualizations of software evolution
Software evolution visualization is a promising technique for assessing the software development process. We study how complex correlations of software evolution attributes can be...
Lucian Voinea, Alexandru Telea
CVPR
2004
IEEE
13 years 11 months ago
A Probabilistic Approach to Image Orientation Detection via Confidence-Based Integration of Low-Level and Semantic Cues
Automatic image orientation detection for natural images is a useful, yet challenging research area. Humans use scene context and semantic object recognition to identify the corre...
Jiebo Luo, Matthew R. Boutell
MVA
2007
210views Computer Vision» more  MVA 2007»
13 years 9 months ago
Represent Image Contents Using Curves and Chain Code
This paper presents a new approach to extracting and representing structural features of images. The approach is based on both a region-based analysis and a contour-based analysis...
Pornchai Mongkolnam, Chakarida Nukoolkit, Thanee D...
GRAPHICSINTERFACE
2004
13 years 8 months ago
A Hybrid Physical/Device-Space Approach for Spatio-Temporally Coherent Interactive Texture Advection on Curved Surfaces
We propose a novel approach for a dense texture-based visualization of vector fields on curved surfaces. Our texture advection mechanism relies on a Lagrangian particle tracing th...
Daniel Weiskopf, Thomas Ertl