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» Context-Based Segmentation of Image Sequences
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BILDMED
2007
107views Algorithms» more  BILDMED 2007»
13 years 10 months ago
Whole Body MRI Intensity Standardization
Abstract. A major problem of segmentation of magnetic resonance images is that intensities are not standardized like in computed tomography. This article deals with the correction ...
Florian Jäger, László G. Ny&uac...
AVSS
2005
IEEE
14 years 2 months ago
Object tracking and matting for a class of dynamic image-based representations
Image-based rendering (IBR) is an emerging technology for photo-realistic rendering of scenes from a collection of densely sampled images and videos. Recently, an object-based app...
Zhi-Feng Gan, Shing-Chow Chan, Heung-Yeung Shum
IVC
2007
188views more  IVC 2007»
13 years 8 months ago
Integration of deformable contours and a multiple hypotheses Fisher color model for robust tracking in varying illuminant enviro
In this paper, we propose a new technique to perform figure-ground segmentation in image sequences of moving objects under varying illumination conditions. Unlike most of the alg...
Francesc Moreno-Noguer, Alberto Sanfeliu, Dimitris...
COMCOM
2002
120views more  COMCOM 2002»
13 years 8 months ago
An interactive video delivery and caching system using video summarization
With the advance of high-speed network technologies, the availability and popularity of streaming media content over the Internet has grown rapidly in recent years. The delivery a...
Sung-Ju Lee, Wei-Ying Ma, Bo Shen
CGF
2010
171views more  CGF 2010»
13 years 5 months ago
Efficient Mean-shift Clustering Using Gaussian KD-Tree
Mean shift is a popular approach for data clustering, however, the high computational complexity of the mean shift procedure limits its practical applications in high dimensional ...
Chunxia Xiao, Meng Liu