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» Large Scale Image Processing with Hadoop
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CVPR
2008
IEEE
14 years 9 months ago
Manifold learning using robust Graph Laplacian for interactive image search
Interactive image search or relevance feedback is the process which helps a user refining his query and finding difficult target categories. This consists in partially labeling a ...
Hichem Sahbi, Patrick Etyngier, Jean-Yves Audibert...
ECCV
2008
Springer
14 years 9 months ago
Signature-Based Document Image Retrieval
As the most pervasive method of individual identification and document authentication, signatures present convincing evidence and provide an important form of indexing for effectiv...
Guangyu Zhu, Yefeng Zheng, David S. Doermann
ICIP
2006
IEEE
14 years 9 months ago
Region-Based Active Contour with Noise and Shape Priors
In this paper, we propose to combine formally noise and shape priors in region-based active contours. On the one hand, we use the general framework of exponential family as a prio...
Eric Saloux, François Lecellier, Gilles Aub...
ICIP
2005
IEEE
14 years 1 months ago
Receiver-driven rate-distortion optimized streaming of light fields
Previous work on rate-distortion optimized streaming of light fields assumes that the scheduling task is performed by a central server. To scale to large numbers of simultaneous ...
Prashant Ramanathan, Bernd Girod
DAGM
2010
Springer
13 years 8 months ago
Uncertainty Driven Multi-scale Optimization
This paper proposes a new multi-scale energy minimization algorithm which can be used to efficiently solve large scale labelling problems in computer vision. The basic modus operan...
Pushmeet Kohli, Victor S. Lempitsky, Carsten Rothe...