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» A probabilistic framework for image segmentation
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ICCV
2009
IEEE
16 years 2 months 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
14 years 7 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»
14 years 11 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
15 years 10 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
15 years 2 months 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