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» Structural and Event Based Multimodal Video Data Modeling
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ICPR
2002
IEEE
14 years 8 months ago
Boosting and Structure Learning in Dynamic Bayesian Networks for Audio-Visual Speaker Detection
Bayesian networks are an attractive modeling tool for human sensing, as they combine an intuitive graphical representation with ef?cient algorithms for inference and learning. Ear...
Tanzeem Choudhury, James M. Rehg, Vladimir Pavlovi...
ICIAP
2007
ACM
14 years 7 months ago
Interval-Based Linear Hybrid Dynamical System for Modeling Cross-Media Timing Structures in Multimedia Signals
In this paper, we propose a computational scheme named an interval-based linear hybrid dynamical system (ILHDS) to represent complex dynamic events based on temporal intervals, ea...
Hiroaki Kawashima, Takashi Matsuyama
COLING
2002
13 years 7 months ago
Annotation-Based Multimedia Summarization and Translation
This paper presents techniques for multimedia annotation and their application to video summarization and translation. Our tool for annotation allows users to easily create annota...
Katashi Nagao, Shigeki Ohira, Mitsuhiro Yoneoka
ICMCS
2008
IEEE
207views Multimedia» more  ICMCS 2008»
14 years 1 months ago
Structure learning in a Bayesian network-based video indexing framework
Several stochastic models provide an effective framework to identify the temporal structure of audiovisual data. Most of them need as input a first video structure, i.e. connecti...
Siwar Baghdadi, Guillaume Gravier, Claire-Hé...
AAAI
2010
13 years 9 months ago
Unsupervised Learning of Event Classes from Video
We present a method for unsupervised learning of event classes from videos in which multiple actions might occur simultaneously. It is assumed that all such activities are produce...
Muralikrishna Sridhar, Anthony G. Cohn, David C. H...