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» Graph-Theoretic Approach to Clustering and Segmentation
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ICCV
2011
IEEE
12 years 7 months ago
Probabilistic Group-Level Motion Analysis and Scenario Recognition
This paper addresses the challenge of recognizing behavior of groups of individuals in unconstraint surveillance environments. As opposed to approaches that rely on agglomerative ...
Ming-Ching Chang, Nils Krahnstoever, Weina Ge
ICCV
2009
IEEE
15 years 23 days ago
Wide-Baseline Image Matching Using Line Signatures
We present a wide-baseline image matching approach based on line segments. Line segments are clustered into local groups according to spatial proximity. Each group is treated as...
Lu Wang, Ulrich Neumann and Suya You
ACIVS
2009
Springer
13 years 11 months ago
Unsupervised Detection of Gradual Video Shot Changes with Motion-Based False Alarm Removal
The temporal segmentation of a video into shots is a fundamental prerequisite for video retrieval. There are two types of shot boundaries: abrupt shot changes (“cuts”) and grad...
Ralph Ewerth, Bernd Freisleben
CVPR
2009
IEEE
13 years 11 months ago
Classification of tensors and fiber tracts using Mercer-kernels encoding soft probabilistic spatial and diffusion information
In this paper, we present a kernel-based approach to the clustering of diffusion tensors and fiber tracts. We propose to use a Mercer kernel over the tensor space where both spati...
Radhouène Neji, Nikos Paragios, Gilles Fleu...
EMNLP
2008
13 years 9 months ago
Acquiring Domain-Specific Dialog Information from Task-Oriented Human-Human Interaction through an Unsupervised Learning
We describe an approach for acquiring the domain-specific dialog knowledge required to configure a task-oriented dialog system that uses human-human interaction data. The key aspe...
Ananlada Chotimongkol, Alexander I. Rudnicky