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» Image Categorization Using Local Probabilistic Descriptors
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CVPR
2011
IEEE
13 years 3 months ago
Using Global Bag of Features Models in Random Fields for Joint Categorization and Segmentation of Objects
We propose to bridge the gap between Random Field (RF) formulations for joint categorization and segmentation (JCaS), which model local interactions among pixels and superpixels, ...
Dheeraj Singaraju, René, Vidal
MM
2000
ACM
515views Multimedia» more  MM 2000»
14 years 15 hour ago
Efficient use of local edge histogram descriptor
The purpose of this paper is to show how the edge histogram descriptor for MPEG-7 can be efficiently utilized for image matching. Since the edge histogram descriptor recommended f...
Dong Kwon Park, Yoon Seok Jeon, Chee Sun Won
PSIVT
2009
Springer
400views Multimedia» more  PSIVT 2009»
14 years 2 months ago
Local Image Descriptors Using Supervised Kernel ICA
PCA-SIFT is an extension to SIFT which aims to reduce SIFT’s high dimensionality (128 dimensions) by applying PCA to the gradient image patches. However PCA is not a discriminati...
Masaki Yamazaki, Sidney Fels
CVPR
2010
IEEE
14 years 5 days ago
The Automatic Design of Feature Spaces for Local Image Descriptors using an Ensemble of Non-linear Feature Extractors
The design of feature spaces for local image descriptors is an important research subject in computer vision due to its applicability in several problems, such as visual classifi...
Gustavo Carneiro
CVPR
2008
IEEE
14 years 9 months ago
Semantic texton forests for image categorization and segmentation
We propose semantic texton forests, efficient and powerful new low-level features. These are ensembles of decision trees that act directly on image pixels, and therefore do not ne...
Jamie Shotton, Matthew Johnson, Roberto Cipolla