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» Bisimulation for Labelled Markov Processes
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TCSV
2002
229views more  TCSV 2002»
13 years 7 months ago
Automatic segmentation of moving objects in video sequences: a region labeling approach
Abstract--The emerging video coding standard MPEG-4 enables various content-based functionalities for multimedia applications. To support such functionalities, as well as to improv...
Yaakov Tsaig, Amir Averbuch
CN
2002
127views more  CN 2002»
13 years 7 months ago
Optimal policy for label switched path setup in MPLS networks
An important aspect in designing a multiprotocol label switching (MPLS) network is to determine an initial topology and to adapt it to the traffic load. A topology change in an MP...
Tricha Anjali, Caterina M. Scoglio, Jaudelice Cava...
ICMCS
2010
IEEE
193views Multimedia» more  ICMCS 2010»
13 years 8 months ago
Motion segmentation in compressed video using Markov Random Fields
In this paper, we propose an unsupervised segmentation algorithm for extracting moving objects/regions from compressed video using Markov Random Field (MRF) classification. First,...
Yue-Meng Chen, Ivan V. Bajic, Parvaneh Saeedi
ICPR
2006
IEEE
14 years 8 months ago
Stroke Segmentation of Chinese Characters Using Markov Random Fields
This paper presents Markov random fields (MRFs) to segment strokes of Chinese characters. The distortions caused by the thinning process make the thinning-based stroke segmentatio...
Jia Zeng, Zhi-Qiang Liu
ICML
2005
IEEE
14 years 8 months ago
Active learning for Hidden Markov Models: objective functions and algorithms
Hidden Markov Models (HMMs) model sequential data in many fields such as text/speech processing and biosignal analysis. Active learning algorithms learn faster and/or better by cl...
Brigham Anderson, Andrew Moore