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» Bayesian Framework for Video Surveillance Application
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ICPR
2006
IEEE
14 years 6 months ago
Automatic Acquisition of Context Models and its Application to Video Surveillance
This paper addresses the problem of automatically acquiring context models from data. Context and human behavior are represented using a state model, called situation model. This ...
James L. Crowley, Oliver Brdiczka, Patrick Reignie...
MM
2005
ACM
152views Multimedia» more  MM 2005»
13 years 10 months ago
Critical video quality for distributed automated video surveillance
Large-scale distributed video surveillance systems pose new scalability challenges. Due to the large number of video sources in such systems, the amount of bandwidth required to t...
Pavel Korshunov, Wei Tsang Ooi
ICIP
2001
IEEE
14 years 6 months ago
Bayesian resolution-enhancement framework for transform-coded video
Resolution enhancement for video sequences has always been an attractive application in multimedia signal processing. "Superresolution" methods, that combine non-redunda...
Bahadir K. Gunturk, Yucel Altunbasak, Russell M. M...
AVSS
2009
IEEE
13 years 12 months ago
An Ontology for Event Detection and its Application in Surveillance Video
In this paper, we propose an ontology for representing the prior knowledge related to video event analysis. It is composed of two types of knowledge related to the application dom...
Juan Carlos San Miguel, José María M...
ICIP
2010
IEEE
13 years 3 months ago
Quantization optimized H.264 encoding for traffic video tracking applications
The compression of video can reduce the accuracy of post-compression tracking algorithms. This is problematic for centralized applications such as traffic surveillance systems, wh...
Eren Soyak, Sotirios A. Tsaftaris, Aggelos K. Kats...