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ICASSP
2008
IEEE
16 years 1 months ago
Phase singularities for image representation and matching
Phase features are widely used in image processing and representation due to their stability to deformation and noise [1, 2]. However, phase singularities,where the signals vanish...
Yu Qiao, Wei Wang, Nobuaki Minematsu, Jianzhuang L...
ICASSP
2007
IEEE
16 years 26 days ago
A Radial Basis Function and Semantic Learning Space Based Composite Learning Approach to Image Retrieval
This paper introduces a composite learning approach for image retrieval with relevance feedback. The proposed system combines the radial basis function (RBF) based lowlevel learni...
Konstantin Shkurko, Xiaojun Qi
ICMCS
2006
IEEE
113views Multimedia» more  ICMCS 2006»
16 years 17 days ago
Steganalysis based on Markov Model of Thresholded Prediction-Error Image
A steganalysis system based on 2-D Markov chain of thresholded prediction-error image is proposed in this paper. Image pixels are predicted with their neighboring pixels, and the ...
Dekun Zou, Yun Q. Shi, Wei Su, Guorong Xuan
ACCV
2006
Springer
16 years 16 days ago
A Local Basis Representation for Estimating Human Pose from Cluttered Images
Recovering the pose of a person from single images is a challenging problem. This paper discusses a bottom-up approach that uses local image features to estimate human upper body p...
Ankur Agarwal, Bill Triggs
MM
2004
ACM
248views Multimedia» more  MM 2004»
15 years 12 months ago
Incremental semi-supervised subspace learning for image retrieval
Subspace learning techniques are widespread in pattern recognition research. They include Principal Component Analysis (PCA), Locality Preserving Projection (LPP), etc. These tech...
Xiaofei He