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127
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ICMCS
2010
IEEE
193views Multimedia» more  ICMCS 2010»
15 years 2 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
ICMCS
2009
IEEE
415views Multimedia» more  ICMCS 2009»
14 years 10 months ago
A new localized superpixel Markov random field for image segmentation
In this paper, we present a novel localized Markov random field (MRF) method based on superpixels for region segmentation. Early vision problems could be formulated as pixel label...
Xiaofeng Wang, Xiao-Ping Zhang
CISIS
2008
IEEE
15 years 7 months ago
Segmentation of the Liver from Abdominal CT Using Markov Random Field Model and GVF Snakes
Liver segmentation from scans of the abdominal area is an important step in several diagnostic processes. CT scans of the abdominal area contain several organs in close proximity ...
Raja' S. Alomari, Suryaprakash Kompalli, Vipin Cha...
ICPR
2008
IEEE
15 years 7 months ago
Combining shape-from-shading and stereo using Gaussian-Markov random fields
In this paper we present a method of combining stereo and shape-from-shading information, taking account of the local reliability of each shape estimate. Local estimates of dispar...
Tom S. F. Haines, Richard C. Wilson
86
Voted
ASPDAC
2006
ACM
133views Hardware» more  ASPDAC 2006»
15 years 7 months ago
An SPU reference model for simulation, random test generation and verification
– An instruction set level reference model was developed for the development of synergistic processing unit (SPU) , which is one of the key components of the cell processor [1][2...
Yukio Watanabe, Balazs Sallay, Brad W. Michael, Da...