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» A TV Based Restoration Model with Local Constraints
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CVPR
2008
IEEE
16 years 4 months ago
Discriminative learned dictionaries for local image analysis
Sparse signal models have been the focus of much recent research, leading to (or improving upon) state-of-the-art results in signal, image, and video restoration. This article ext...
Julien Mairal, Francis Bach, Jean Ponce, Guillermo...
CIVR
2005
Springer
133views Image Analysis» more  CIVR 2005»
15 years 7 months ago
Hot Event Detection and Summarization by Graph Modeling and Matching
This paper proposes a new approach for hot event detection and summarization of news videos. The approach is mainly based on two graph algorithms: optimal matching (OM) and normali...
Yuxin Peng, Chong-Wah Ngo
ICML
2007
IEEE
16 years 2 months ago
Revisiting probabilistic models for clustering with pair-wise constraints
We revisit recently proposed algorithms for probabilistic clustering with pair-wise constraints between data points. We evaluate and compare existing techniques in terms of robust...
Blaine Nelson, Ira Cohen
ECCV
2006
Springer
16 years 3 months ago
Random Walks, Constrained Multiple Hypothesis Testing and Image Enhancement
Image restoration is a keen problem of low level vision. In this paper, we propose a novel - assumption-free on the noise model - technique based on random walks for image enhancem...
Noura Azzabou, Nikos Paragios, Frederic Guichard
ICCV
2011
IEEE
14 years 1 months ago
Active Geodesics: Region based Active Contour Segmentation with a Global Edge based Constraint
We present an active geodesic contour model in which we constrain the evolving active contour to be a geodesic with respect to a weighted edge-based energy through its entire evol...
Vikram Appia, Anthony Yezzi