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» A Probability Model for Image Annotation
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ICIP
2000
IEEE
16 years 4 months ago
Spatially Adaptive Image Denoising Under OverComplete Expansion
This paper presents a novel wavelet-based image denoising algorithm under overcomplete expansion. In order to optimize the denoising performance, we make a systematic study of bot...
Xin Li, Michael T. Orchard
ICIP
2009
IEEE
16 years 3 months ago
Hierarchical Region-based Representation For Segmentation And Filtering With Depth In Single Images
This paper presents an algorithm for tree-based representation of single images and its applications to segmentation and filtering with depth. In a our recent work, we have addres...
ICA
2007
Springer
15 years 4 months ago
Bayesian Estimation of Overcomplete Independent Feature Subspaces for Natural Images
In this paper, we propose a Bayesian estimation approach to extend independent subspace analysis (ISA) for an overcomplete representation without imposing the orthogonal constraint...
Libo Ma, Liqing Zhang
ICPR
2006
IEEE
16 years 4 months ago
Image classification: Classifying distributions of visual features
We classify an image by generating a list of salient visual features present in the luminance channel, and matching the resulting variable-length feature list to categoryspecific ...
Prateek Sarkar
IJCV
2000
161views more  IJCV 2000»
15 years 2 months ago
Probabilistic Detection and Tracking of Motion Boundaries
We propose a Bayesian framework for representing and recognizing local image motion in terms of two basic models: translational motion and motion boundaries. Motion boundaries are ...
Michael J. Black, David J. Fleet