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» Image Compression using Object-Based Regions of Interest
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157
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CVPR
2007
IEEE
16 years 4 months ago
Learning Local Image Descriptors
In this paper we study interest point descriptors for image matching and 3D reconstruction. We examine the building blocks of descriptor algorithms and evaluate numerous combinati...
Simon A. J. Winder, Matthew Brown
ISBI
2002
IEEE
16 years 3 months ago
Parcellation of brain images with anatomical and functional constraints for fMRI data analysis
In this paper we propose a methodology for brain parcellation with anatomical and functional constraints dedicated to fMRI data analysis. The aim is to provide a representation of...
Denis Rivière, Ferath Kherif, Guillaume Fla...
114
Voted
TIP
2010
89views more  TIP 2010»
14 years 9 months ago
Fast Nonconvex Nonsmooth Minimization Methods for Image Restoration and Reconstruction
Nonconvex nonsmooth regularization has advantages over convex regularization for restoring images with neat edges. However, its practical interest used to be limited by the difficu...
Mila Nikolova, Michael K. Ng, Chi-Pan Tam
119
Voted
ICASSP
2011
IEEE
14 years 6 months ago
A segment-based image saliency detection
This paper presents a novel method of visual saliency detection. The use of saliency promises benefits to multimedia applications. However, up to now just few reasonable applicat...
Oleg Muratov, Pamela Zontone, Giulia Boato, France...
CVPR
2003
IEEE
16 years 4 months ago
Learning Affinity Functions for Image Segmentation: Combining Patch-based and Gradient-based Approaches
This paper studies the problem of combining region and boundary cues for natural image segmentation. We employ a large database of manually segmented images in order to learn an o...
Charless Fowlkes, David R. Martin, Jitendra Malik