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ICMCS
2009
IEEE
142views Multimedia» more  ICMCS 2009»
13 years 5 months ago
Rotation invariant curvelet features for texture image retrieval
Effective texture feature is an essential component in any content based image retrieval system. In the past, spectral features, like Gabor and wavelet, have shown superior retrie...
Md. Monirul Islam, Dengsheng Zhang, Guojun Lu
ECCV
2008
Springer
14 years 9 months ago
CSDD Features: Center-Surround Distribution Distance for Feature Extraction and Matching
Abstract. We present an interest region operator and feature descriptor called Center-Surround Distribution Distance (CSDD) that is based on comparing feature distributions between...
Robert T. Collins, Weina Ge
CVPR
2008
IEEE
14 years 9 months ago
Integrated feature selection and higher-order spatial feature extraction for object categorization
In computer vision, the bag-of-visual words image representation has been shown to yield good results. Recent work has shown that modeling the spatial relationship between visual ...
David Liu, Gang Hua, Paul A. Viola, Tsuhan Chen
CICLING
2005
Springer
14 years 1 months ago
Incremental Information Extraction Using Tree-Based Context Representations
Abstract. The purpose of information extraction (IE) is to find desired pieces of information in natural language texts and store them in a form that is suitable for automatic pro...
Christian Siefkes
CVPR
2009
IEEE
15 years 2 months ago
View-Invariant Dynamic Texture Recognition using a Bag of Dynamical Systems
In this paper, we consider the problem of categorizing videos of dynamic textures under varying view-point. We propose to model each video with a collection of Linear Dynamics S...
Avinash Ravichandran, René Vidal, Rizwan Ch...