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» A probabilistic framework for image segmentation
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ICCV
2009
IEEE
15 years 25 days ago
FLoSS: Facility Location for Subspace Segmentation
Subspace segmentation is the task of segmenting data lying on multiple linear subspaces. Its applications in computer vision include motion segmentation in video, structure-from...
Nevena Lazic, Inmar Givoni, Brendan Frey
ICCV
2009
IEEE
13 years 5 months ago
Robust dynamical model for simultaneous registration and segmentation in a variational framework: A Bayesian approach
We introduce a dynamical model for simultaneous registration and segmentation in a variational framework for image sequences, where the dynamics is incorporated using a Bayesian f...
Pratim Ghosh, Mehmet Emre Sargin, Bangalore S. Man...
CISST
2004
164views Hardware» more  CISST 2004»
13 years 9 months ago
Probabilistic Region Relevance Learning for Content-Based Image Retrieval
Probabilistic feature relevance learning (PFRL) is an effective method for adaptively computing local feature relevance in content-based image retrieval. It computes flexible retr...
Iker Gondra, Douglas R. Heisterkamp
ICIP
2009
IEEE
14 years 9 months ago
A Resource Allocation Framework For Summarizing Team Sport Videos
We propose a flexible summarization framework for teamsport videos, which is able to integrate both the knowledge about displayed content (e.g. level of interest, type of view, et...
ICPR
2002
IEEE
14 years 24 days ago
Motion Estimation and Figure-Ground Segmentation Using Log-Polar Images
A motion estimation algorithm for log-polar images, based on a previous general framework [2], is presented. The advantages and disadvantages brought by the use of this kind of fo...
V. Javier Traver, Filiberto Pla