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» Markov Random Field Modeling in Computer Vision
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CIVR
2008
Springer
207views Image Analysis» more  CIVR 2008»
13 years 11 months ago
Accumulated motion energy fields estimation and representation for semantic event detection
In this paper, a motion-based approach for detecting highlevel semantic events in video sequences is presented. Its main characteristic is its generic nature, i.e. it can be direc...
Georgios Th. Papadopoulos, Vasileios Mezaris, Ioan...
IBPRIA
2009
Springer
13 years 7 months ago
Real-Time Motion Detection for a Mobile Observer Using Multiple Kernel Tracking and Belief Propagation
We propose a novel statistical method for motion detection and background maintenance for a mobile observer. Our method is based on global motion estimation and statistical backgro...
Marc Vivet, Brais Martínez, Xavier Binefa
COLING
2010
13 years 4 months ago
TimeML Events Recognition and Classification: Learning CRF Models with Semantic Roles
This paper analyzes the contribution of semantic roles to TimeML event recognition and classification. For that purpose, an approach using conditional random fields with a variety...
Hector Llorens, Estela Saquete, Borja Navarro-Colo...
SPIESR
2004
152views Database» more  SPIESR 2004»
13 years 10 months ago
Issues in managing image and video data
This paper presents an overview of our recent work on managing image and video data. The first half of the paper describes a representation for the semantic spatial layout of vide...
Shawn D. Newsam, Jelena Tesic, Lei Wang, B. S. Man...
HIPC
1999
Springer
14 years 1 months ago
Stochastic Modeling of TCP/IP over Random Loss Channels
An analytical framework for modeling the performance of a single TCP session in the presence of random packet loss is presented that is based on a semi-Markov model for the window ...
Alhussein A. Abouzeid, Murat Azizoglu, Sumit Roy