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» Two-Layer Generative Models for Sport Video Mining
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MIR
2006
ACM
141views Multimedia» more  MIR 2006»
14 years 1 months ago
Mining temporal patterns of movement for video content classification
Scalable approaches to video content classification are limited by an inability to automatically generate representations of events ode abstract temporal structure. This paper pre...
Michael Fleischman, Philip DeCamp, Deb Roy
ICMCS
2007
IEEE
191views Multimedia» more  ICMCS 2007»
14 years 2 months ago
Variable Number of "Informative" Particles for Object Tracking
Particle filter is a sequential Monte Carlo method for object tracking in a recursive Bayesian filtering framework. The efficiency and accuracy of the particle filter depends on t...
Yu Huang, Joan Llach
ICMCS
2007
IEEE
130views Multimedia» more  ICMCS 2007»
14 years 2 months ago
Mining Information of Attack-Defense Status from Soccer Video Based on Scene Analysis
Video Content is always huge by itself with abundant information. Extracting explicit semantic information has been extensively investigated such as object detection, structure an...
Shuqiang Jiang, Qingming Huang, Wen Gao
PG
2003
IEEE
14 years 1 months ago
Motion Perturbation Based on Simple Neuromotor Control Models
Motion capture is widely used for character animation. One of the major challenges of this technique is how to modify the captured motion in plausible ways. Previous work has focu...
KangKang Yin, Michael B. Cline, Dinesh K. Pai
KDD
2007
ACM
124views Data Mining» more  KDD 2007»
14 years 1 months ago
Hierarchical mixture models: a probabilistic analysis
Mixture models form one of the most widely used classes of generative models for describing structured and clustered data. In this paper we develop a new approach for the analysis...
Mark Sandler