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SAMT
2007
Springer
113views Multimedia» more  SAMT 2007»
15 years 8 months ago
Camera Motion Analysis Towards Semantic-Based Video Retrieval in Compressed Domain
To reduce the semantic gap between low-level visual features and the richness of human semantics, this paper proposes new algorithms, by virtue of the combined camera motion descri...
Ying Weng, Jianmin Jiang
116
Voted
VISSYM
2004
15 years 3 months ago
Accuracy Evaluation of Different Centerline Approximations of Blood Vessels
Accurate determination of the vessel axis is a prerequisite for automated visualization and quantification of artery diseases. This paper presents an evaluation of different metho...
Alexandra La Cruz
CA
1999
IEEE
15 years 6 months ago
Fast Synthetic Vision, Memory, and Learning Models for Virtual Humans
This paper presents a simple and efficient method of modeling synthetic vision, memory, and learning for autonomous animated characters in real-time virtual environments. The mode...
James J. Kuffner Jr., Jean-Claude Latombe
CVPR
2012
IEEE
13 years 4 months ago
Unsupervised learning of translation invariant occlusive components
We study unsupervised learning of occluding objects in images of visual scenes. The derived learning algorithm is based on a probabilistic generative model which parameterizes obj...
Zhenwen Dai, Jörg Lücke
127
Voted
PRIS
2001
15 years 3 months ago
Improving the Robustness of Parametric Shape Tracking with Switched Multiple Models
This paper addresses the problem of tracking objects with complex motion dynamics or shape changes. It is assumed that some of the visual features detected in the image (e.g., edg...
Jacinto C. Nascimento, Jorge S. Marques