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» Unsupervised Learning of Event Classes from Video
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ICCV
1999
IEEE
15 years 11 months ago
A Dynamic Bayesian Network Approach to Figure Tracking using Learned Dynamic Models
The human figure exhibits complex and rich dynamic behavior that is both nonlinear and time-varying. However, most work on tracking and synthesizing figure motion has employed eit...
Vladimir Pavlovic, James M. Rehg, Tat-Jen Cham, Ke...
HYBRID
2000
Springer
15 years 1 months ago
A Dynamic Bayesian Network Approach to Tracking Using Learned Switching Dynamic Models
Abstract. Switching linear dynamic systems (SLDS) attempt to describe a complex nonlinear dynamic system with a succession of linear models indexed by a switching variable. Unfortu...
Vladimir Pavlovic, James M. Rehg, Tat-Jen Cham
ICDCS
2000
IEEE
15 years 2 months ago
An Adaptive, Perception-Driven Error Spreading Scheme in Continuous Media Streaming
For transmission of continuous media (CM) streams such as audio and video over the Internet, a critical issue is that periodic network overloads cause bursty packet losses. Studie...
Srivatsan Varadarajan, Hung Q. Ngo, Jaideep Srivas...
ICCV
2007
IEEE
15 years 11 months ago
Classification of Weakly-Labeled Data with Partial Equivalence Relations
In many vision problems, instead of having fully labeled training data, it is easier to obtain the input in small groups, where the data in each group is constrained to be from th...
Sanjiv Kumar, Henry A. Rowley
MM
2010
ACM
336views Multimedia» more  MM 2010»
14 years 10 months ago
Movie genre classification via scene categorization
This paper presents a method for movie genre categorization of movie trailers, based on scene categorization. We view our approach as a step forward from using only low-level visu...
Howard Zhou, Tucker Hermans, Asmita V. Karandikar,...