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» Unsupervised segmentation of triplet Markov chains hidden wi...
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SIGPRO
2008
75views more  SIGPRO 2008»
14 years 9 months ago
Unsupervised segmentation of triplet Markov chains hidden with long-memory noise
Pierre Lanchantin, Jérôme Lapuyade-La...
82
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PAMI
2007
123views more  PAMI 2007»
14 years 9 months ago
Unsupervised Statistical Segmentation of Nonstationary Images Using Triplet Markov Fields
—Recent developments in statistical theory and associated computational techniques have opened new avenues for image modeling as well as for image segmentation techniques. Thus, ...
Dalila Benboudjema, Wojciech Pieczynski
CVIU
2006
162views more  CVIU 2006»
14 years 9 months ago
Unsupervised scene analysis: A hidden Markov model approach
This paper presents a new approach to scene analysis, which aims at extracting structured information from a video sequence using directly low-level data. The method models the se...
Manuele Bicego, Marco Cristani, Vittorio Murino
102
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DSP
2008
14 years 9 months ago
Extension of higher-order HMC modeling with application to image segmentation
In this work, we propose to improve the neighboring relationship ability of the Hidden Markov Chain (HMC) model, by extending the memory lengthes of both the Markov chain process ...
Lamia Benyoussef, Cyril Carincotte, Stéphan...