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» Support vector machine learning for image retrieval
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ICPR
2002
IEEE
14 years 9 months ago
A Computationally Efficient Approach to Indoor/Outdoor Scene Classification
Prior research in scene classification has shown that high-level information can be inferred from low-level image features. Classification rates of roughly 90% have been reported ...
Navid Serrano, Andreas E. Savakis, Jiebo Luo
ICMCS
2007
IEEE
140views Multimedia» more  ICMCS 2007»
14 years 2 months ago
Suspicious Behavior Detection in Public Transport by Fusion of Low-Level Video Descriptors
Recently great interest has been shown in the visual surveillance of public transportation systems. The challenge is the automated analysis of passenger’s behaviors with a set o...
Dejan Arsic, Björn Schuller, Gerhard Rigoll
ICMCS
2006
IEEE
198views Multimedia» more  ICMCS 2006»
14 years 2 months ago
Face Segmentation under Unconstrained Scenes
In this paper, an efficient approach by combining the novel wavelet-based feature template, the support vector machine (SVM) classifier, and the wavelet entropy filtering is prese...
Jing-Wein Wang
CVPR
2009
IEEE
15 years 3 months ago
Learning Shape Prior Models for Object Matching
The aim of this work is to learn a shape prior model for an object class and to improve shape matching with the learned shape prior. Given images of example instances, we can le...
Cordelia Schmid, Frédéric Jurie, Tin...
MICCAI
2006
Springer
14 years 9 months ago
MR Image Segmentation Using Phase Information and a Novel Multiscale Scheme
This paper considers the problem of automatic classification of textured tissues in 3D MRI. More specifically, it aims at validating the use of features extracted from the phase of...
Jurgen Fripp, Peter Stanwell, Pierrick Bourgeat, S...