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» Structural and Event Based Multimodal Video Data Modeling
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ICDE
2006
IEEE
146views Database» more  ICDE 2006»
14 years 1 months ago
Model Video Semantics with Constraints Considering Temporal Structure and Typed Events
The advances of video technology and video-related applications demand appropriate video semantic models for representing video data and their semantics, and supporting powerful s...
Yu Wang, Lizhu Zhou, Jianyong Wang
ICMCS
2010
IEEE
231views Multimedia» more  ICMCS 2010»
13 years 4 months ago
Event based news video people classification and ranking using multimodality features
Existing research on news video analysis mainly concentrates on structure analysis, semantic concept detection, annotation and search. However, little work has been contributed to...
Chunxi Liu, Qingming Huang, Shuqiang Jiang, Changs...
ICMCS
2005
IEEE
127views Multimedia» more  ICMCS 2005»
14 years 1 months ago
Multimodal Segmental-Based Modeling of Tennis Video Broadcasts
Efficient multimodal fusion is a key feature of future video indexing systems. Hidden Markov Models provide a powerful framework for video structure analysis but they require all...
Manolis Delakis, Guillaume Gravier, Patrick Gros
ICMCS
2005
IEEE
173views Multimedia» more  ICMCS 2005»
14 years 1 months ago
A Multi-Modal Mixed-State Dynamic Bayesian Network for Robust Meeting Event Recognition from Disturbed Data
In this work we present a novel multi-modal mixed-state dynamic Bayesian network (DBN) for robust meeting event classification. The model uses information from lapel microphones,...
Marc Al-Hames, Gerhard Rigoll
ICASSP
2011
IEEE
12 years 11 months ago
Detection of anomalous events from unlabeled sensor data in smart building environments
This paper presents a robust unsupervised learning approach for detection of anomalies in patterns of human behavior using multi-modal smart environment sensor data. We model the ...
Padmini Jaikumar, Aca Gacic, Burton Andrews, Micha...